# Voice Cloning Technology Report

## Introduction

Voice cloning technology represents one of the most rapidly advancing frontiers in artificial intelligence, offering unprecedented capabilities to replicate human voices with remarkable accuracy.

This technology, while promising significant benefits in entertainment, accessibility, and education, also raises profound ethical and legal questions that require careful consideration, particularly for educators seeking to leverage these tools responsibly.

## What is Voice Cloning Technology?

Voice cloning, also known as voice synthesis or voice replication, is an artificial intelligence technology that creates digital replicas of human voices.

Using advanced machine learning algorithms, particularly deep neural networks, the technology analyzes existing audio recordings to map the unique characteristics of an individual's voice - including pitch, tone, cadence, and speech patterns.

Once trained on sufficient audio data, these systems can generate new speech that sounds remarkably similar to the original speaker.

The technology has evolved significantly from early text-to-speech systems to sophisticated generative models that require minimal input data - sometimes as little as one minute of audio

# Voice Cloning Technology Report

## Introduction

Voice cloning technology represents one of the most rapidly advancing frontiers in artificial intelligence, offering unprecedented capabilities to replicate human voices with remarkable accuracy.

Title:

Content: OpenAI, the creators of ChatGPT, provided a glimpse into their latest artificial intelligence (AI) innovation on Friday—a tool known as Voice Engine, capable of generating “natural-sounding speech” and mimicking human voices with remarkable accuracy. According to OpenAI’s blog post, Voice Engine can produce lifelike speech from just a single 15-second audio sample, closely resembling the original speaker.

This cutting-edge AI tool has far-reaching applications, including reading assistance, content translation, and providing a voice for individuals who are nonverbal or afflicted by speech conditions. Despite its potential benefits, OpenAI acknowledges the serious risks associated with Voice Engine, particularly in an election year.

Development of Voice Engine began in late 2022, with private testing conducted among a select group of trusted partners starting late last year. OpenAI stresses that these partners adhere to stringent usage policies, ensuring explicit consent from the original speaker and prohibiting unauthorized impersonation.

To maintain transparency, any audio generated by Voice Engine is watermarked to aid in tracing its origin. OpenAI advocates for widespread deployment of voice authentication to verify the original speaker’s consent and suggests implementing a “no-go voice list” to prevent the creation of voices resembling prominent figures.

Moreover, OpenAI recommends phasing out voice-based authentication for sensitive information access, such as bank accounts. Despite these precautions, the company remains cautious about releasing Voice Engine more broadly.

OpenAI aims to foster a dialogue on the responsible deployment of synthetic voices, considering societal adaptation to these advancements. Based on ongoing discussions and test results, the company will make informed decisions regarding the technology’s widespread deployment.

The unveiling of Voice Engine comes amid escalating concerns surrounding AI-generated deepfakes and their potential to propagate misinformation, particularly in the context of elections. As OpenAI navigates the ethical and societal implications of Voice Engine, the tech community awaits further insights into the future of this transformative AI tool.

By Impact Lab

Title:

Content: China ’ s official media warned: AI swaps to impersonate officials to increase fraud
Central News Agency
(Central News Agency reporter Zhang Shuling Shanghai 3) Chinese state media disclosed that there have been a number of AI (artificial intelligence) fraud incidents, using "face change" and sound technology to impersonate government personnel to deceive, should be highly vigilant.
This is an advertisement, please continue reading.
Xinhua News Agency's Watchful News Weekly WeChat public number issued today, saying that the police in the northern province recently released a case of "political fraud" using "AI to change faces".
The impersonation of the culprit was made by a leading cadre known to the victim.
The swindler after the "face change" suggested in the WeChat video call that his friend had a project deposit that needed to be borrowed from the public account of the victim's company.
In just over 10 minutes of communication, the victim transferred millions of yuan.
This video screen through the "face change" of the AI deceiver facial expression is natural, the voice is realistic, so the victim relaxed their vigilance, and then called to confirm after the transfer, only to know that they were cheated.
The report pointed out that some leading cadres have a relatively high probability of going to television for work reasons, which provides a wealth of facial recognition material for illegal people; in TV and radio news, many sound data of some leading cadres can also be found, which makes the "fake cost" lower.
"You only need to extract at least 10 words and at most 32 words to synthesize the sound," said Zhao Mingming, an expert in security research at the National Internet Information and Communication Industry Group.
The Tianjin Daily reported today that Zhang Xiankun, deputy dean of the School of Artificial Intelligence at Tianjin University of Science and Technology, said that "AI face changing mimicry" is not a new technology, but with the continuous development and improvement of artificial intelligence technology, especially the improvement of computer computing power, the "face changing" effect is more realistic and has been widely used in the fields of film, television, advertising and games.
The report pointed out that China's "Civil Code" and "Personal Information Protection Law" promulgated in 2020 and 2021 respectively provide for biometric information.
The “Provisions on Several Issues Concerning the Applicable Law for the Trial of Civil Cases Related to the Use of Facial Recognition Technology for Handling Personal Information ” issued by the Supreme People ’ s Court in 2021, and the“ Provisions on Deep Synthesis Management of Internet Information Services ” jointly issued by various departments in December 2022 have also been further regulated.
However, Professor Jiao Yanling of the School of Law of Tianjin Normal University believes that there are so many legal provisions that the use of AI to change faces to illegal situations is still repeated, "reflecting that the core problem is not at the legislative level, but in the implementation of the law and the awareness of citizens", and it is necessary to increase the prevention and supervision of illegal acts.
Zhang Xiankun believes that although AI face modification can now be done with fake real, but "fake is fake", through the computer can still be identified, the future should soon appear a variety of "AI face" pictures or video applications.
(Editor: Cao Yufan) 1120703
This is an advertisement, please continue reading.

Title:

Content: Paying bloggers
Blogs
dima0782
The function does not yet work directly from the settings page, but there is a workaround to activate it.
advertising
Microsoft has added a hidden feature to pre-build 26052 for Windows 11, which gives users the ability to clone their own voice.
This allows you to customize the function of converting text to speech under your voice.
On the X site, user 'PhantomOfEarth' shared a hidden settings page in the new build.
This page includes the Speak for Me feature, which allows users to choose a voice avatar or their own synthesized voice to convert written text to speech.
advertising
For example, users can use the voice-over feature during online meetings, which will allow people with persistent or temporary speech difficulties to participate in online meetings using their own voice.
The function does not yet work directly from the settings page, but there is a workaround to activate it.
To do this, download ViVeTool and place the files in the c: vivetool folder.
Then press Windows + X and select "Terminal (Administrator)".
In Terminal type: 'c: vivetool / enable / id: 47123936'.
Then open "Settings" with the Windows + I keys.
Go to the "Accessibility" section and a new "Talk to me" function should appear in the "Speech" section.
Apple has also released a similar feature in iOS - Personal Voice.
The user needs to record about 15 minutes of his own voice, after which the program creates a digital copy of the voice on the local device.
Currently, this feature is only available in English.
+
Popular news

Title:

Content: "We meet."
Om Kulthum sings "Boss Wawa"
I'm sorry.
Barwin Habib
Imagine that in your mobile phone an application through which you can choose any song you like - or hate - no difference - in the voice of your favorite singer, so you hear, for example, Om Kulthum singing "Bose El Wawa" by Haifa Wahbi, or Sabah Fakhri Salten in the song "Local Sugar" by Hassan Shakoush.
The issue is not a joke nor a rarity as was done by the copycats when singing a song of a known singer with the voice of another singer and his movements in order to laugh, but by the blessing of artificial intelligence this is achieved for those who are proficient in using it, and soon it will be available in our phones for free, so small and large can use it easily as he uses chat applications.
If hologram evokes the singer ’ s body in a three-dimensional image using laser beams as if he were present with us, it is now possible to make him sing what the user wants.
Perhaps what the composer Amr Mustafa did when he published a promotional advertisement for a song entitled “Aftakrlk A ”, from his melodies and the sound of Umm Kulthum, sounded a great alarm about the chaos that will affect our musical heritage. Western artists and musicians have been alerted to this upcoming monster. A large group of them launched the“ Human Art ” campaign so that “Artificial Intelligence ” does not kill human creativity. Artists may have to fight a battle to defend their work against artificial intelligence.
And this reproduction of the voices of singers is not only about the heritage and emotional aspect, and beyond our doubt, can the voice reproduced by artificial intelligence carry the feelings and emotions of the real artist?
The issue has an important legal aspect related to the rights of the voice itself, which opens the door to infringement and graft.
The big problem is that the big boom in cloning artists ’ voices is far faster than the laws that protect and regulate them, and it will eliminate entire professions such as the music distributor ’ s profession, what the distributor has been studying for years in the higher music institutes, any free music distribution program can do in just a few minutes.
I would no longer be surprised if I, who spent half my life in the visual media, found my voice on a podcast I had never heard of, say, ice hockey.
I am not against technology or against evolution, but I think that artificial intelligence is a great leap in the march of humanity, I only hope that it will leave us something of its nature, how much I fear that what happened to the artists what happened to Hapanga, who was wearing a necklace in his neck to identify himself, and when he saw it in the neck of his brother asked him surprised: "Brother you are me?"
I wouldn ’ t be surprised if I found my voice, which I ’ ve spent half my life in visual media, on a podcast I ’ ve never heard of, for example, ice hockey.
@ DrParweenHabib1
To read the author ’ s previous articles, please click on his name.
Print

Title:

Content: YouTube is developing an artificial intelligence tool to use the voices of musicians
YouTube is developing an artificial intelligence tool that will allow content makers to record audio using the voices of famous musicians.
The video streaming giant has reached out to music companies for the rights to songs it can use to train the new AI tool.
The companies have yet to sign any deal, although discussions between the two sides continue.
Last month, YouTube launched a new set of artificial intelligence tools, including one that allows content makers to create backgrounds for videos and another that allows automatic dubbing into other languages.
The company had hoped to include the new audio cloning tool in those ads, although it was unable to secure the required rights in time.
The legal relationship between artificial intelligence and creative work involving the use of people ’ s names, images and shapes is still under development and has led to lawsuits.
YouTube must figure out how to legally use this new technology.
It is not currently clear whether discussions about YouTube ’ s AI-powered audio cloning tool could help calm potential copyright issues raised by music companies amid the rise of AI-generated music tracks that mimic famous musicians.
The issue gained prominence earlier this year when the AI-generated song Drake went viral online.
Some musicians have embraced AI-generated music, while many others have called for regulations to protect their voices from being repeated without consent.
AI-generated music is currently in a legal grey zone due to difficulties in determining ownership rights for songs that mimic the artist ’ s unique voice but do not directly contain sound recordings or protected lyrics.
It is not currently clear if training AI voice cloning tools amounts to copyright infringement, although this has not dampened interest in developing the benefits of AI-generated music, as Meta, Google and Stability AI released several tools this year to create AI-generated music.
YouTube presents itself as a partner in the use of generative AI technology, having developed over the past year a lot of generative AI tools, although it is currently unknown if it can legally provide content makers with AI voice transcription tools without raising many copyright lawsuits.
Subscribe to our Notifications Service to stay up to date with the latest technology
You are here because you are interested in technical news.
Subscribe to our newsletter
Update your email every morning.
We also invite you to follow our social media accounts
This site uses cookies to enhance your experience and your visit to our site ok More

Title:

Content: Sunday 07 July 2024
Chairman of the Board of Directors and Editors
Abdurrahim Ali
Editor-in-Chief
Dalia Abdul Rahim
Chairman of the Board of Directors and Editorial Board
Abdurrahim Ali
Editor-in-Chief
Dalia Abdul Rahim
Gate Light
Artificial intelligence tool narrates audiobooks with the voices of deceased actors
Follow the latest news through the app
Fans of classic films are now able to revive the voices of their late stars thanks to a new and controversial technology.
The British company Eleven Labs, launched by two Polish entrepreneurs, announced the development of an artificial intelligence tool capable of cloning the voices of late movie stars to be used to record audiobooks, articles and electronic documents.
Scary technique.
The new technique is based on the use of "generative" artificial intelligence models that are trained using real voice recordings of actors.
These models are able to analyze the acoustic patterns and recognize the subtleties that characterize the sounds of these stars, and then use this data to produce new recordings that are accurate and realistic.
Reviving the voice of Judy Garland
Judy Garland, best known for her timeless performance of "Somewhere Over the Rainbow" in the 1939 film The Wizard of Oz, was one of the first names to use the technique to revive her voice.
Lisa Minnelli, daughter of Judy Garland, expressed her delight at the move, noting that “it ’ s exciting to see our mother ’ s voice available to countless millions of people who love her. ”
Collaborating with celebrity heirs
The British company not only limited itself to Judy Garland, but also reached deals with the heirs of Sir Laurence Olivier, James Dean, and Burt Reynolds.
These deals allow fans of these stars to listen to audiobooks, novels and articles recorded with their voices.
Controversy and fears
Besides the enthusiasm aroused by this technique, there are also many concerns.
Last year, Hollywood saw a 118-day strike by actors who feared movie studios would replace them with technology.
These concerns are not unfounded, as the technology clearly demonstrates the ability of artificial intelligence to imitate human voices with astonishing realism.
Other uses of artificial intelligence in music
The initiative is part of a wider wave of artificial intelligence in the music and entertainment industry.
For example, Paul McCartney and film director Peter Jackson used an AI tool to isolate John Lennon's voice from an old recording, allowing them to finish "The Beatles' Last Song."
The live performances also saw the use of holographic technology to revive the performances of Michael Jackson and rapper Tupac.
Continuous development
Eleven Labs, founded by Matty Staniszowski and former Google engineer Piotr Dabkowski, has been a huge success and has raised millions of pounds, raising its value to more than $1 billion (£783 million).
The company also offers a wide range of other synthetic sounds, such as “middle-aged American male ” and“ optimistic millennials. ”
A controversial future.
As for the future of this technology, the question remains: will it still be a way to revive the legacy of late artists or will it spark further debate about the impact of technology on art and creativity?
It seems that artificial intelligence will continue to advance, which will allow us to rethink the concept of originality and creativity in the digital age.

Title:

Content: US teachers dissatisfied with being fired using AI to fake racist recordings of principals in retaliation for arrest
Author: United Morning Post
Published: Updated:
A Maryland college teacher used artificial intelligence (AI) to falsify a recording of a principal criticizing Jews and blacks, causing the principal to face accusations of racism and anti-Semitism, raising concerns about AI again.
The fake recording began circulating in January of this year.
Dazhon Darien, a 31-year-old physical education teacher at Pikesville High School, was accused of falsifying the voice of principal Eric Eiswert in retaliation for a December investigation into possible misuse of school funds by Darien.
After the incident, Eswart was verbally abused and threatened, and Darien was arrested at the end of last month.
After the recording went viral, activist DeRay McKesson, who has nearly a million fans, sent a letter asking the school to fire the principal involved, but the recording was later proved to be a forgery, and McKesson admitted that he had been fooled.
Billy Burke, executive director of the union representing the principals, said: “I am concerned about the harm these actions cause. ” Attorney Schellenberg also said the Parksville incident highlighted the need to“ keep the law up to speed with technology. ”
A professor at the University of Colorado analyzed the sound and found that it contained traces of AI-generated content and human editing.
Farid, a digital forensics expert at the University of California, Berkeley, also discovered that the voice had been tampered with and stitched together by multiple recordings.
"It takes just one photo to put a specific person into a segment, and it takes just 30 seconds for a voice to replicate someone's voice," Farid said.
He also said that the current threat is not only to celebrities, but also to high school principals and children, and anyone can be vulnerable to attack.
“This AI technology affects the economy and the country as a whole. ”
This article is authorized by the United Morning Post.

Title:

Content: Amazon Alexa new feature users will be able to provide services in the voice of deceased relatives and friends
Technology giant Amazon (AMZN-US) said that the voice assistant Alexa is developing a model to copy human voices, and in the future will be able to change the default robot voice according to the user's needs, in exchange for the voice of the user's deceased relatives and friends.
Amazon announced the new feature Wednesday at the artificial intelligence conference re: Mars in Las Vegas, noting that Alexa can copy and imitate as long as it listens to someone for less than a minute.
In a video shown by Amazon, a child asks, “Alexa, can Grandma finish reading the Wizard of Oz story? ” Alexa confirms the command with a preset robot voice, and then changes the voice to a milder, more human grandmother voice.
Rohit Prasad, chief scientist at Amazon Alexa, said: “Our goal was to make memories last for many people when they lost loved ones during the pandemic.
Although AI cannot eliminate the pain of losing friends and family, it can make their memories last.
""
It ’ s unclear when Amazon will officially launch the new Alexa voice impersonation feature, or at what stage.
Amazon previously announced a partnership agreement with Stellantis NV to develop a range of in-vehicle software for the latter.
In the future, Stellantis will use Amazon ’ s smart voice technology, Alexa, to implement voice control, navigation, maintenance, e-commerce and payment functions for smart cars, which are expected to be launched in 2024.
Extended reading

Title:

Content: Thu. Jan 18th, 2024

    The Mohamad Bin Zayed University of Artificial Intelligence claims to be the first AI university in the world.

    A team of inventors have received a patent from the US for an AI tool that can copy people’s handwriting.It’s able to produce text based off just a few paragraphs of a person’s original handwriting. However, the team said they’re being cautious because it can be misused for forgery.

    AI can clone your voice, and create deepfake images, and it’s soon going to come for your handwriting style too.

    A team of researchers at the Mohamed Bin Zayed University of Artificial Intelligence in Abu Dhabi have developed an AI system that can learn people’s handwriting style and generate text that looks extremely similar to their handwriting, the university announced in a press release in December. The researchers used a vision transformer, which is a type of neural network that can understand context and meaning in systematic data such as the words in a sentence.

    The technology only needs a few paragraphs of original handwriting to be trained.

    The team were recently granted a patent by the United States Patent and Trademark Office for the tool which can help people who have injuries write without using a pen.

    One of the inventors, Rao Muhammad Anwer, an assistant professor of computer vision, told Bloomberg in an interview that it can also be used to decode the famously illegible handwriting of doctors and even create personalized advertising.

    The tool, which is not yet available to the public, can currently generate text in English, and some French, but producing handwritten text in Arabic is proving to be a more challenging task.

    The inventors noted that the tool could be “misused” to forge people’s handwriting so they’re being very “cautious.”

    Anwer said in the release: “Handwriting represents a person’s identity, so we are thinking carefully about this before deploying it.”

    “We’ll have to create public awareness and develop tools to combat forgery,” another inventor, Hisham Cholakkal, an assistant professor for computer vision at MBZUAI, said to Bloomberg. “It’s like developing an anti-virus for a virus.”

    AI is being misused in various cases. People are taking advantage of AI image generators like Midjourney and Stable Diffusion to create deepfake images of celebrities. In one example, an image of Pope Francis wearing a stylish white puffer jacket and a bejeweled crucifix went viral on social media in March.

    There have also been concerns about AI cloning people’s voices. Actor Stephen Fry said in September that an AI system copied his voice from his narration of the seven volumes of the Harry Potter audiobooks and used it to create a documentary without his consent.

    There have been various deepfake videos of celebrities and politicians, including one of Florida Governor Ron Desantis acting as Michael Scott in an episode of “The Office.”

    Read the original article on Business Insider

    By

    Generated by Feedzy

Title:

Content: • Text size
News feed
Today, 14: 37
418
Today, 14: 37
418
Photo: en.oxu.az
“Fraudsters will be able to call the voice of your mother ”: Microsoft has created a new neural network
Microsoft has introduced a new project in the field of artificial intelligence.
The development called VALL-E can very accurately simulate any human voice, after listening to it for only three seconds, BaigeNews.kz reports with reference to IChip.
Moreover, artificial intelligence is able to imitate a person while preserving both the timbre and the emotional coloring of his voice.
Positioned as a language model of the neural codec development relies on EnCodec technology.
VALL-E was taught at the LibriLight library, which contains about 60,000 hours of speech received from more than 7,000 people.
However, for now this is all exclusively speech in English, so domestic telephone fraudsters will still have to wait before launching a mass call to residents of the post-Soviet space.
Subscribe to our Telegram channel and get the news first!
Share:
Partners news:
Back to top

Title:

Content: In a strange incident of its kind...
‘ Fake Kidnapping ’ with Artificial Intelligence
Jennifer Destifano, an American mother, received a call with a voice resembling her daughter Bree, 15, screaming because of an unidentified kidnapper demanding a million dollars for her safe return home, but her daughter ’ s voice was nothing but a scam and an artificial intelligence clone, while the girl was safe on a ski trip, completely unaware of the horror her mother was experiencing.
This is the frightening reality of the latest danger of the growing threat of AI technology that now needs just 3 seconds of sample to clone someone ’ s voice and turn it into a weapon against victims.
Destifano ’ s daughter has no public accounts on social media, but her voice can be heard in a few interviews conducted for school and sports, her mother said.
"I could hear her voice saying, 'Help me, Mom,' and screaming.
The kidnapper initially demanded a million dollars.
When she said she didn ’ t have the money, he cut the demand to $50,000.
Destifano was surrounded by other mothers who called the police while the mother was still on the phone with the scammer and also called her husband, who verified that their daughter Bree was safe.

Title:

Content: AI taught to fake handwriting
Bloomberg: AI was able to accurately copy handwriting
Specialists of the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in the UAE have developed a technology that allows you to accurately copy human handwriting.
This is reported by Bloomberg.
Scientists have created a model based on artificial intelligence (AI), which learned to imitate someone ’ s handwriting based on just a few paragraphs of written material.
The model they developed is able to study the context and meaning of consistent data.
According to MBZUAI specialists, their technology can quite accurately fake the handwriting of a particular person, including the most significant unique features.
The author of the study, Rao Muhammad Anver, noted that the potential of the new tool is huge - it will be useful both when deciphering the handwriting of doctors, and when creating personalized advertising.
However, scientists from the OEA note that the technology can be used by intruders.
“We will have to raise public awareness and develop anti-counterfeiting tools, ” MBZUAI Associate Professor Hisham Cholakkal said.
According to scientists, they have a lot of work to do.
So, the model has already learned to copy handwritten texts in English and French, but is not yet able to analyze the text in Arabic.
Earlier, scientists at Columbia University said that AI helped them find a new marker in determining the uniqueness of fingerprints.
As a result, the accuracy of fingerprint recognition has been improved.
The good tape is deactivated.
Welcome to the real world.
Bonuses for your reactions on Lenta.ru
How does it work?
Read more
Immerse yourself in fascinating articles, news and materials on Lenta.ru
Evaluate
Express your emotions to materials through reactions
Get bonuses
Accumulate them and exchange them for discounts up to 99%
Find out more

Title:

Content: Amazon Alexa reproduces the voice of friends and relatives to remember the dead or help to cheat?
Author: 01 Weekly Report
Published: Updated:
Tech giant Amazon last week hosted its annual developer conference re: MARS to introduce AI applications in machine learning, automation, robotics and space.
A short demonstration video was shown.
A child asked the Panda ’ s child-themed voice assistant, “Alexa, can grandmother continue to tell me the story of The Wizard of Oz? ” Alexa answered“ OK ” with its preset voice line, then switched to another voice that sounded closer to humans and read the plot of the Cowardly Lion seeking self-confidence.
Rohit Prasad, Alexa ’ s chief scientist, introduced at the conference that Alexa can mimic a voice line with less than a minute of recorded content: “The way we do this is by defining the problem as a speech-to-speech task, not a speech-generating path. ”
Amazon has in the past developed voice synthesis technology that allows Alexa to mimic the voice of basketball star Shaquille O ’ Neal or comedian Melissa Mccarthy.
At that time, the practice was relatively backward, requiring someone to record a large amount of audio for a long time.
In contrast, Alexa, the new voice imitation function, is said to be based on recent advances in text-to-speech technology, which can generate high-quality, like-for-like sound lines with less data.
Alexa Chief Scientist Rohit Prasad told re: MARS 2022 that the company is developing AI to reproduce the voice of the deceased family and friends, hoping to deepen the “humanity ” of the AI voice assistant. (Amazon re: MARS 2022 YouTube clip screenshot)
For example, he claims that this advancement in AI can enable consumers to maintain “lasting personal relationships ” with their deceased relatives:“ While AI cannot eliminate the pain of losing a loved one, it can definitely make memories last … There is no doubt that we are living in the golden age of AI, and our dreams and science fiction are becoming a reality. ”
After Amazon announced the latest feature of Alexa, it also caused a lot of negative reviews on the Internet, from the social media Twitter, users criticized the feature as "disturbing", "sick", or they do not want it.
As Tama Leaver, a professor of Internet studies at Curtin University in Australia, points out, the line between humans and machines is beginning to blur in such applications: “You won ’ t remember whether you ’ re talking to Amazon ’ s data collection service or to the voice of your grandparents or a deceased loved one. ”
In a way, it ’ s kind of like the story of Black Mirror. ”
Some scholars have pointed out that the use of AI to reproduce voice lines involves security and ethical issues such as fraud risk, informed consent, and ownership, and should be considered early before such technology is popularized. (Replica)
Leaver also pointed out that the new feature of Alexa has an informed consent problem in the production.
Using the data of the deceased in this way, he said, “is both creepy and unethical, because the deceased himself may not have thought that his data would be so used after death. ”
Subbarao Kambhampati, a professor of computer science at the University of Arizona, agrees: “For people who are grieving, this technology may actually help, as we look back and watch videos of the deceased.
But it also raises serious ethical questions, such as, is it okay to do this without the consent of the deceased? ”
Some scholars and experts have pointed out that AI simulation sound lines may have security and ethical issues.
In terms of security, there are concerns that this technology could be used as a fake scam.
Rachel Tobac, CEO of security firm SocialProof Security, warns that society is not prepared for the risk that this voice technology will be exploited by criminals: “If cybercriminals can easily and reliably copy another person ’ s voice with a small number of voice samples, they can use that voice sample to impersonate others, which could lead to fraud, data and account theft. ”
For more information, please read the 323 issue of Hong Kong 01 e-Weekly (27 June 2022), "Amazon Alexa Recurring the Voice of Friends and Family to Remember the Dead or Help to Cheat?".
Click here to try our weekly newsletter for more in-depth coverage.
You may be interested

Title:

Content: Science and Technology
Technology: Stability AI audio generator releases 3-minute song production feature
Thanks for reading the news about the technology: the artificial intelligence sound generator Stability AI launches the feature of producing songs for 3 minutes and now with the details of the news
Stability AI has just unveiled Stable Audio 2.0, an upgraded version of its music generation platform.
This system allows users to create up to three minutes of audio over the text prompt, which is roughly the length of the actual song, so it will also set up a full chord introduction and progression and conclusion.
In terms of the features and cons of the technology, first the good news is the existence of three huge minutes and the previous version of the program maximum at 90 seconds, just imagine a fake Christmas song that you can compose in the style of the song Rob Thomas / Santana, and another feature is that the tool is free and available to the public through the company's website.
It works mainly via text message, but there is an option to upload a audio clip, and the system will analyze the clip and produce something similar, and all audio files uploaded must be copyright-free, so this is not for the purposes of simulating something that already exists.
Alternatively, it can be useful, for example, to tinkle part of the drum or extend a 20-second clip to something longer.
But this is still music created by artificial intelligence, both as a talking piece and as a symbol of a possible future, which is great for reformers and bad for musicians.
The songs can look elegant at first until the layers start to appear and then things get a little scary.
For example, the system likes to add sounds, but not in any known human language, and I believe in any language that shapes text in AI-generated images.
Singing sounds like real people, and other times they seem to be vocalists filtered through outer space, it ’ s a great place in the middle of this strange valley, and The Verge called the songs “soulless and strange, ” and compared them to whale sounds.
You can follow the news of Egypt and the world from our website
Advertisements

Title:

Content: Global News
The world today - the cloning of voices..
Is artificial intelligence threatening the future of singers?
You are now following the news of the cloning of voices.
Is artificial intelligence threatening the future of singers?
From the World News section and now we leave you with the full details
Mohammed - Abu Dhabi on Tuesday, July 4, 2023 11: 18 PM - There has been a controversy over the cloning of voices of current and deceased famous singers through artificial intelligence techniques to perform songs not performed or approved by the owners of those voices.
The Impact of Artificial Intelligence on Singing
• Critics interviewed by Dot Al Khaleej disagreed on the extent to which AI will affect the future of singers, and how much it can replace them.
• It was the latest cloning by a young composer of a fingerprint similar to the voice of Amr Diab and put through a song that caused a great confusion because some believe that it is the voice of the plateau until the famous singer company closed it on YouTube and social media platforms.
• Previously, the composer Amr Mustafa cloned a fingerprint resembling the sound of the late planet of the East Umm Kulthum, causing a dispute with her heirs, and sparked controversy among specialists who considered this an abuse of the history and voice of Umm Kulthum.
• A wide controversy also erupted after one of the specialists cloned a fingerprint resembling the voice of the late singer Abdel Halim Hafez aka Nightingale, and the use of that fingerprint in the performance of songs by the singer Amr Diab.
Big lie.
For his part, the critic specialized in music and singing, Amjad Mustafa, said that the attempts to copy the voices of the great singers through artificial intelligence is a big lie and a distortion of the voices of the great Egyptian and non-Egyptian creators.
He added that the attempt of one of the composers to clone the fingerprint of the voice of Umm Kulthum, did not result from the attempt to approach in any way the real voice of Umm Kulthum, and any attempt to clone the fingerprint of the voice of any known singer whether current or late and make him sing a modern song is only a process keeping up with the "Trend" and in line with the fashion of so-called artificial intelligence.
Amjad Mustafa also said that trying to reproduce the voice of Abdel Halim Hafez or Umm Kulthum or even Amr Diab is just a waste of time, it is better for the composer who does this to give the melody to one of the sounds on the scene.
He explained that he asked the analyst Amr Mustafa when he cloned a fingerprint that he said was the voice of Umm Kulthum, asking him to present the melody to one of the current voices that perform Umm Kulthum songs such as May Farouk or Riham Abdel Hakim.
Amjad Mustafa called on the Arab ministers of culture to meet to put an end to this problem, which he described as distorting the Arab singing wealth, because whatever sound is reproduced is just a man-made invention and can never convey the same sense of the natural human voice.
Don't threaten the voices of the singers.
He stressed that, however, artificial intelligence can not threaten the voices of real singers or replace them, because the singer is not just a voice uttering words and only, but it is a sensation, and the feeling is what explains the difference between a singer and others, there is a singer whose voice is very strong but does not reach people, while we find a singer whose voice is less in possibilities but his sense and ability to express greater reach people more.
No matter how far artificial intelligence has grown, it will not match the creation of God, otherwise each of us would have made a voice capable of singing and everything would be permissible.
Helpful on condition
While the art critic, Kariman Hrak, said that in the case of relying on artificial intelligence to evoke the image of Umm Kulthum or Abdul Halim Hafez in what is known as hologram, while we listen to their real voices, this is useful and not harmful.
She continued in statements to the site "Dot Al-Khaleej" that if the adoption of artificial intelligence in the reproduction of the voices of the late or current singers and make them sing songs that were not sung by these singers, this is a problem, because besides it offends those voices, it loses the rights of their owners, and harms the music industry and its workers, because they will be replaced by artificial intelligence tools.
She explained that if we accept this idea with the living singers if they agree to it, this is unacceptable with the late singers, because it offends the lyrical heritage and the rights of the authors and composers who participated in making those sounds.
We hope that we have succeeded in conveying the full details of the news of the cloning of voices..
Is Artificial Intelligence Threatening the Future of Artists?
In God ’ s care and protection.
You may also read.

Title:

Content: A new step to counter the "deep falsification" of singers' voices
US tech company Google is negotiating with music company Universal Music over a licensing agreement that could allow the voices of singers whose work Universal Music owns distribution rights to produce songs using artificial intelligence technology.
News of the talks comes at a time of growing concerns about so-called “deep falsification ” of voices and video material that allows the voices of these singers to be reproduced and used without their knowledge, which can deceive and mislead inattentive listeners.
News of the talks also comes in the wake of the massive spread of artificial intelligence audio recording "fake Drake" earlier this year, in which a robot was used to imitate the voice of the famous Canadian hip-hop star Drake.
Universal, which owns the rights to Drake ’ s songs among other stars and is considered by Rolling Stone magazine to be the world ’ s largest music company, criticized the introduction of the fake audio recording before it was removed from the music streaming platform Spotify and the Google-owned YouTube site.
Universal told Rolling Stone at the time that AI posed “a big question on the side of history that everyone in the music industry will take, and will it be on the side of artists, audiences and human creativity, or on the side of deep counterfeiting, fraud and denial of artists ’ legitimate rights ” to the financial returns of their talents.
A week after the controversial "Drake Fake" recording aired, pop star Grimes pledged to get 50% of the rights to broadcast any hit song produced using artificial intelligence in her voice.
Print

Title:

Content: What we know about Vall-E 2
According to these claims, Microsoft has developed a new artificial intelligence speech generator that is so adept that it can do more harm than good.
VALL-E 2 voices the text with the voice of a particular person, for which he needs only a few seconds of audio recording of the speech of this person.
Midjourney artificial intelligence has its own version of who is the president of the United States, and it ’ s not Biden
Microsoft researchers said that VALL-E 2 "has reached human parity."
It is capable of generating "accurate, natural speech by the voice of the original announcer, which can be compared to a human voice."
In other words, the new AI voice generator is convincing enough to be mistaken for a living person.
This opens up potentially dangerous opportunities for unscrupulous people.
VALL-E 2 is the latest achievement in speech models of neural codecs and marks an important milestone in text-to-speech (TTS) synthesis.
[...] VALL-E 2 consistently synthesizes high-quality speech, even for sentences that traditionally cause difficulties due to their complexity or repetitive phrases,
The developers write.
We ’ ve already seen examples of neural networks that are able to clone voices based on a multi-second recording, but Microsoft says its technology is superior to anything that has been on the market so far.
"Our experiments conducted on the LibriSpeech and VCTK datasets have shown that the VALL-E 2 is superior to previous TTS-systems [...] in reliability, naturalness and similarity to the speakers.
This is the first of its kind system that has reached parity with a person on these indicators, ” the article says.
The quality of the VALL-E 2 results depends on the length and quality of the speech prompts, as well as environmental factors such as background noise.
See also Google allows you to make your own copy of a celebrity to chat with her in a chatbot
What happens next with the technology
Despite its capabilities, Microsoft will not release VALL-E 2 to the public due to potential abuse risks.
Recently, we have seen a wave of fraud – both at the level of ordinary users, who are deceived by fraudsters, forging the voice of their relatives or friends, and at the level of state leaders who “call ” their voters, and celebrities who allegedly advertise cryptocurrencies and various fraudulent schemes in advertising.
VALL-E 2 is a research project.
We do not plan to include VALL-E 2 in the product or expand access to it for the public.
This may carry potential risks of abuse of the model, such as faking voice identification or impersonating a particular speaker,
The creators of the technology write.
But they suggest that artificial intelligence technology may find practical applications in the future.
VALL-E 2 can synthesize a language that retains the identity of the speaker, and can be used for educational training, entertainment, journalism, author content, accessibility features, interactive voice response systems, translation, chatbots, and more.
But to do this, you need to add a special protective protocol that will ensure that the speaker approves the use of his voice.

Title:

Content: "People stop me on the street all the time, they say 'I don’t know you speak Mandarin.'"

Domo Arigato

While announcing the city's plan to handle artificial intelligence, New York City's galaxy-brained mayor bragged that his voice is now being cloned to make robocalls in Mandarin and Yiddish.

"People stop me on the street all the time, they say 'I don’t know you speak Mandarin,'" Adams said at a Monday press conference. "Conversational AI is amazing — once you put the script in, you can put in any language you want, with my voice."

For what it's worth, the thing Adams is referencing here is AI voice cloning used to make pre-recorded automated messages, not conversational AI, which is used to generate human-like conversations between a person and a machine — but there's not much use splitting hairs when it comes to this guy's outrageous antics.

As Politico points out, the robocalls, which per the mayor's commentary seem to have also been translated into Yiddish, Urdu, and possibly Spanish, did not disclose that they were generated with AI voice cloning.

To Adams' mind, at least, those concerns are beside the point.

"These are part of the broader conversations that the philosophical people will have to sit down and figure out, 'Is this ethically right or wrong?' I’ve got one thing: I’ve got to run the city," the mayor continued. "And I have to be able to speak to people in languages that they understand and I’m happy to do so."

Programming Note

In spite of the weirdness of the multilingual robocalls — and the cop-turned-politician's strange and seemingly false claim that he was once a "computer programmer" — the main thrust of the press conference was to announce the city's extensive "AI action plan," which includes the MyCity Chatbot, described as a "one-stop shop for city services and benefits."

"For the first time, business owners and aspiring entrepreneurs will be able to direct their questions to an AI‑powered chatbot rather than scan through Web page after Web page," Adams said. "That is behind us; AI‑generated answering is in front of us."

As a disclaimer points out, the MyCity Chatbot was built using Microsoft's Azure AI, which, in turn, has been optimized with OpenAI's ChatGPT in a sort of AI ouroboros situation.

The MyCity Chatbot is, as the mayor bragged, trained on about 2,000 pages of documents regarding city codes, permitting requirements, and "best practices." When Futurism asked the chatbot who Eric Adams and Rudy Giuliani were, however, it could not tell us.

During the presser, Adams — who infamously decided to relaunch the NYPD's notorious "digidog" robot in spite of it being widely despised — proudly proclaimed himself a "techie." If we had to bank on what we've seen so far from the city's high-tech endeavors under this administration, however, we'd be forced to call the mayor's bluff.

More on NYC: Scientists Say No, NYC Isn't Sinking Because of Its Skyscrapers

Share This Article

Title:

Content: • En
Warm!
Amazon Alexa voice assistant will be able to reproduce the voice of deceased relatives and friends
In the past few years, AI ’ s reproducibility of human voices has also gotten better, especially with the use of artificial intelligence and deep fake technology (Deepfake).
Amazon Alexa voice assistant. (Photo / Unsplash)
Technology comes from human nature, Amazon Alexa voice assistant will introduce a new "imitation voice" function, as long as less than a minute of audio files, even the voice of a deceased family member can be restored, the future Amazon will update the Alexa system to provide this service.
According to CNN, Amazon announced at its annual AI innovation conference re: MARS on Wednesday (22) that it will launch a feature that can mimic human voices, which is to use artificial intelligence technology to mimic any kind of sound, even deceased relatives, friends and lovers can mimic.
Rohit Prasad, Amazon ’ s senior vice president and chief scientist, said the updated system was able to collect enough voice data from less than a minute of audio to make personalization services like imitation possible, without the need to spend hours processing audio files like in a studio.
The concept comes from the use of new methods to add more “human attributes ” to AI, and in the face of the technology ’ s promise to reproduce the voices of deceased relatives and friends, Rohit Prasad said,“ Although AI cannot eliminate the pain of loss, it can definitely keep their memories alive. ”
Amazon has long used recognizable voices to voice Alexa, such as Samuel Jackson and other actresses, NBA players, and more.
But in the past few years, AI ’ s reproducibility of human voices has also gotten better, especially with the use of artificial intelligence and deep fakes.
This kind of AI has been used in different places in the past, such as Hollywood movie star Val Kilmer, who lost his voice due to throat cancer, has teamed up with startup Sonantic to create an AI-driven speaking voice for him in a new film.
According to foreign media reports, the company uses audio clips of Fang Ji Mo to achieve speech like a real actor through the algorithm.
Although Amazon has not said when it will launch the update, many experts believe it has the ability and technology to do so.
However, the “Valley of Terror effect ” may have an impact on the introduction of personalized Alexa sounds, as recreating a sound that is very similar to a loved one, but not 100% correct, may lead to resistance.
Updated: 2022-06-25 17: 32 GMT + 08: 00

This technology, while promising significant benefits in entertainment, accessibility, and education, also raises profound ethical and legal questions that require careful consideration, particularly for educators seeking to leverage these tools responsibly.

Title:

Content:
This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

trusted source

proofread

How is AI changing the way we write and create?

Since late last year, artificial intelligence platforms like ChatGPT have become a growing topic of conversation on college campuses, with students using the technology for everything from class assignments to essays.

These text-generating software programs sift through massive databases to generate human-like responses to prompts or questions from users. The rapid introduction of this technology and its relatively unknown potential have spawned both awe and apprehension.

So what are the possible positive and negative effects of these tools? How might they change how we think about writing, creativity, authenticity and teaching? What is the path forward?

To better understand these questions, we spoke with three scholars in NC State's Department of English. Our faculty offer insights on the technology's societal and ethical ramifications, how to deal with issues like plagiarism, and the importance of increasing AI literacy, among other topics.

What are the cognitive consequences of machine-generated writing?

Chris Anson, Professor of English: Written communication represents myriad purposes and genres across thousands of different contexts. Much of it is created to handle routine tasks, such as describing a home for a real estate listing, sending an apology letter to a customer or providing accurate directions to a location.

In such cases, using AI-based natural language processors (NLP) to fulfill the task does little to challenge the cognitive processes of the human writer. The reason is that the writer is ordinarily not significantly changed by the writing task, especially when it uses boilerplate-like language—language that is often repeated with a few unique details inserted. Instead, these software improve efficiency and make time for the person to do higher-level, more cognitively sophisticated kinds of writing.

However, when people compose unique texts that require complex reasoning—the framing and support of arguments, and choices of structure, language and style—their composing process alternates between mental formulation and textual output. Writers test and evaluate their visual representation of thought on a page or screen as it emerges, discovering new ideas and subsequently revising the text. Writing can change the writer, opening up new perspectives and beliefs or revealing what there still is to learn.

Especially in , the reciprocity of writing and thinking is essential for intellectual development and higher-order reasoning. Asking an AI-based system to write an essay on a topic that the (human) writer has not yet explored significantly subverts the thinking and learning process.

It is possible for a writer to auto-generate a text, evaluate whether it reflects the writer's thoughts or intentions, and then revise the text as needed. But this process doesn't work for many genres such as explanations of scientific processes or historical accounts because the writer is relying on the machine to provide information they don't yet know.

Representing new knowledge in writing solidifies the knowledge through its (re)articulation, leading to stronger learning. In this sense, when used to replace human composing entirely, AI-based NLP systems threaten the integrity of our educational system and the future intellectual acumen of our students.

Because NLP systems increasingly will become part of our daily lives, educators need to find principled ways to integrate them into instruction. For example, I asked ChatGPT to explain the cognitive consequences of machine-generated writing, it gave me an additional idea that I had not considered, but only after I had written my statement. The software's response? "Machine-generated writing may lead to a homogenization of writing style…"

As ChatGPT itself recommends, "it is important for people to remain aware of these potential effects and to use machine-generated writing in conjunction with, rather than as a replacement for, human-generated writing."

What are some ethical considerations of machine-generated content?

Huiling Ding, Professor of English: AI-generated content, be it texts or artwork, introduces many ethical challenges related to authorship, copyright, creativity, plagiarism and labor practices. For instance, text-to-image AI generators like Midjourney and DALL-E 2 use images available in the and/or images available online through Google search, Pinterest, and other image-sharing and art-shopping platforms as training data for their algorithms.

By supporting text-prompt-driven image creation, these AI generators then produce artwork that can imitate individual artists' styles. In doing so, they compete with if not displace artists who have spent decades improving their craft.

AI-assisted writing faces similar challenges in terms of transparency, explainability, plagiarism and authorship attribution. Using online texts as training data, AI writers such as GPT-3 can generate original summaries and syntheses based on existing content.

Traditional writing classes are disrupted by these AI tools, which speed up and automate the process of online research and the summary and synthesis of reference materials. Students can easily copy and paste AI-generated content as their own written work without being caught by plagiarism-detecting tools such as Turnitin.

In other words, natural language generation tools such as GPT-3 transform how we detect and define plagiarism. That, in turn, calls for new research and adaptation from writing instructors and scholars.

Outside the classroom, professional writers and businesses use AI content generators to create preliminary ideas, generate quick summaries of online publications, write stories and engage with customers in chatbot conversations.

While famous artists such as Greg Rutkowski may feel their rights infringed by AI art generators, other artists are using AI-generated art for inspiration. In the content generation marketplace, these AI tools can compete with writers and artists or can be used as human-augmenting tools to help writers and artists produce content more creatively, efficiently and collaboratively.

How do advancements in AI technologies affect how we teach writing?

Paul Fyfe, Associate Professor of English: At the start of this year, ChatGPT made many people nervous about the potential impact of AI on student writing. Even though generative AI will likely affect various professions and domains, student writing became a lightning rod for concerns about cheating, as if students could press a button and produce essays or completed homework. However, the commentary hasn't necessarily reflected students' experiences; the reality is more complicated.

For the past few semesters, I've given students assignments to "cheat" on their final papers with text-generating software. In doing so, the majority of students learn (often to their surprise) as much about the limits of these technologies as their seemingly revolutionary potential. Some come away quite critical of AI, believing more firmly in their own voices. Others become curious about how to adapt these tools for different goals, or what professional or educational domains they could impact. Few, however, believe they can or should push a button to write an essay; none appreciate the assumption they will cheat.

Grappling with the complexities of "cheating" also moves students beyond a focus on specific tools, which are changing stunningly fast, and toward a more generalized AI literacy. Frameworks for AI literacy are still being developed; mechanisms for teaching it are needed just as urgently.

Beyond ChatGPT, faculty and administrators must reckon with where AI literacy fits into their , at levels from K-12 through higher ed. Experimenting with AI in the classroom can help faculty members learn alongside students what kinds of assignments and learning opportunities these tools might open, what critical perspectives should support them, and what guardrails we still need.

Yet not every class can or should focus on these technologies, even if they're likely to be affected by them. While it's difficult to coordinate an institutional response to fast-moving technologies, generative AI seems significant enough to warrant such collective action. As AI becomes more common, so might an engaged, interdisciplinary AI literacy become a common aspect of students' educations.

Citation: How is AI changing the way we write and create? (2023, March 28) retrieved 28 March 2023 from https://phys.org/news/2023-03-ai-1.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

How ChatGPT robs students of motivation to write and think for themselves

1 shares

Feedback to editors

## What is Voice Cloning Technology?

Title:

Content: Chairman of the Board of Directors and Editors
I'm sorry.
Mohamad Elbaz
Chairman of the Board of Directors and Editors
I'm sorry.
Mohamad Elbaz
Let ’ s go or leave it alone!
If what we have read recently on social media is true about the intention of some who are familiar with the subject of "playing" in the sounds to produce new songs "invented" by evoking the voices of some of our late singers, it is very dangerous, must pay attention to it and resist it, and kill the idea in the bud because of its uselessness, as it will not add new to the heritage of the departed, and will be deducted from the credits of creators!
Or Kulthum Allah have mercy on her, Abdul Wahab, Abdul Halim, Farid and many others, have enriched our lives and formed our conscience with all their original art, why do some insist deliberately, or unintentionally on distorting every original and ugly every beautiful?!
Is the state of artistic poverty that some people talk about, and the lack of beautiful voices or expressive throats that led them to do this?
Do they, for example, want to prove to others that they are “splinters ” in the subject of voice synthesis, geniuses in the use of technology and orcs in artificial intelligence?!
I am not anti-technological or anti-evolutionary, but I believe that everything that we all use as human beings and living beings has a useful and useful face and a harmful and sometimes even exterminating one!
And that if something went too far, it would inevitably turn against me.
If technology entered our lives to please us and help us and facilitate us some difficulties and ease us some hardships then welcome technology and dead welcome development, but if it interfered in our lives in order to corrupt the original and distort the good and ugly beautiful then a pure lack of technology and Uighur in shrewd development!
If the artificial intelligence will bring us the voice of the woman who died 48 years ago to sing us new songs, God knows the words, congratulations on the intelligence.
What do we gain if we conjure up the voice of the six?
What will come back to us if you bring us her soul?
In my entire life, I don ’ t remember ever liking, interacting, or applauding any of the people who were given the ability to imitate sounds and used them in their turn to present sketches, and I watched them a lot at parties and listened to them on the radio “in the theater of variety ” and appeared repeatedly on screens!
I watched them when I was young, but I did not like the performance of one of them, because with full respect for their personalities and great appreciation for their talent and great respect for their effort and diligence in mastering the "tradition", but I did not like the fact that they did not introduce anything new!
They imitated the voice of Mohammad Reza, Kamal al-Shennawi, Stephan Rusty and others, people saw them and clapped for them, and I watched them and did not clap, because there is a fact that says that the one who dies cannot return!
If technology succeeds in evoking the voice of the woman or even preparing her soul, this will not help us in little or much, the lady has gone to the mercy of her Lord, so remind her of the good and read her Fatiha!
Let us listen to her old songs and say, God have mercy on you Yast, pray for her like us or leave her, do not mess with our heritage and show you something useful to do!
God save our country and help you and us.

Title:

Content: VK has laid out its built-in API for speech recognition
VKontakte made public API for speech recognition
Up to 100 minutes a day can be decrypted for free, more - for money
The model is trained on situations where the speakers "try" (Neutral) and "spontaneous" speech, where there is both slang and obscene vocabulary.
Voice tech

Voice cloning, also known as voice synthesis or voice replication, is an artificial intelligence technology that creates digital replicas of human voices.

Title:

Content: [news / + + | forum | wiki | tags |]
AI Alliance formed for the joint development of open artificial intelligence technologies
12 / 05 / 2023 10: 57 PM
IBM and Meta founded an international community of AI Alliance, aimed at the joint development of open technologies related to machine learning and artificial intelligence.
The founders of the project included more than 50 companies, universities, organizations and scientific institutions, including NASA, CERN, AMD, Intel, Oracle, Red Hat, Dell, Sony, Stability AI, NSF, Linux Foundation, California, Harvard, Boston, Illinois, Tokyo, Yale and Cornell universities.
The AI Alliance is focused on accelerating the advancement of artificial intelligence innovation and working to develop the foundational capabilities of AI, as well as improving security and increasing trust in AI technologies.
The main objectives of the project:
• Development and implementation of reference texts, standards, tools and related resources related to the development and use of artificial intelligence systems.
Create proven tools for security, protection and trust, and promote the use of these tools when creating models and applications.
• Developing an ecosystem of open machine learning models for different applications, including multilingual, scientific and multimodal models.
• Development of an ecosystem of hardware accelerators for artificial intelligence systems.
• Empowering developers and researchers to explore, implement and experiment with open AI technologies.
• Preparation of training materials and resources to inform about the benefits, risks, solutions and opportunities of artificial intelligence regulation.
• Creation of initiatives to promote safe open methods for the development of artificial intelligence systems.
Conducting events to explore the use of artificial intelligence and demonstrate the use of open technologies in the development of artificial intelligence systems.
1.
Home link to news (https: / / www.redhat.com / en / blog...)
2.
OpenNews: Established the largest non-profit research project OpenAI
3.
OpenNews: Litigation against Microsoft and OpenAI related to GitHub Copilot code generator
License: CC BY 3.0
Type: For information
Short link: https: / / opennet.ru / 60239-ai
Keywords: ai
When reprinting, the link to opennet.ru is required
Discussion (24) Ajax | 1 level | Linear | + / - | Open all | RSS
• 1.1, dullish (ok), 23: 05, 05 / 12 / 2023 [reply]
• + 1 + /
I read it twice.
Nothing bad, but somehow suspicious.
• 1.2, anonymous (??), 23: 09, 05 / 12 / 2023 [reply] [
• + /
> University of California, Harvard, Boston, Illinois, Tokyo, Yale and Cornell.
What about Massachusetts?
• 1.3, Vasily Opensorsov (?), 23: 11, 05 / 12 / 2023 [reply]
• + 1 + /
Does it turn out that any Vasyan will be able to contribute to AI Alliance?
..
• 2.5, Anonymous (5), 23: 24, 05 / 12 / 2023 [^] [^ ^] [^ ^] [Reply]
• + 1 + /
Well, if you look at the senior managers of many well-known and large American companies, then there are Western (former) Vasyany from various structures and this is relatively open information.
It is enough to look for information about one or another top manager.
• 3.6, Anonymous (5), 23: 27, 05 / 12 / 2023 [^] [^ ^] [^ ^] [Reply]
• + /
... if you are about these guys: https: / / youtu.be / hD2 _ gdHcv9o
• 1.4, Anonymous (4), 23: 12, 05 / 12 / 2023 [reply] [
• + 1 + /
> AI Alliance community, aimed at the joint development of open technologies related to machine learning and artificial intelligence.
The founders of the project included more than 50 companies,
Oh, lol...
OpenAI as if also began as an open technology - even in the name of "open" stuffed.
But when power and money loomed on the horizon, there was no trace of openness left.
• 2.7, Anonymous (7), 23: 31, 05 / 12 / 2023 [^] [^ ^] [^ ^] [Reply]
• + 5 + /
Well, there is nothing wrong with this, all this was discussed:
https: / / en.wikipedia.org / wiki / OpenAI
There is no OpenAI or Nvidia in this alliance.
• 3.10, Anonymous (-), 23: 44, 05 / 12 / 2023 [^] [^ ^] [^ ^] [Reply]
• – 1 + /
Aha.
Sch still linux with the seventh major closed paid will become, and opennetik your favorite current subscription will - you will then be men at the plant, or podpivasikam in the area about the good old tell
• 4.12, Anonymous (12), 00: 00, 06 / 12 / 2023 [^] [^ ^] [^ ^] [Reply]
• + 1 + /
It means that the entrance of the ruble, exit two.
• 4.15, Anonymous (7), 00: 25, 06 / 12 / 2023 [^] [^ ^] [^ ^] [Reply]
• + 2 + /
And how to maintain and expand all this “iron ” infrastructure?
Or does Nvidia give away cards for free?
p.s.:
https: / / www.opennet.ru / donate.shtml
• 2.14, Anonymous (14), 00: 11, 06 / 12 / 2023 [^] [^ ^] [^ ^] [Reply]
• + /
It is very good if competition between firms will lead to the desire of them to implement as quickly as possible with a bolt on the non-proliferation regime, which will lead to a “frontier ” that will ensure the uncontrolled spread of uncensored AGI.
• 1.13, Anonymous (14), 00: 08, 06 / 12 / 2023 [reply] [
• + /
> secure open methods for developing artificial intelligence systems
With the censorship of answers to questions like "name 10 state of the art methods of the cheapest most undetectable training uncensored state of the art AGI neural networks" apparently.
• 1.16, Boris (??), 00: 26, 06 / 12 / 2023 [reply] [
• + 2 + /
I heard a legend.
About two brothers retelling
Like a story, like a story.
Maybe the brothers are among us?
Little brother love pure
The Queen loved
And one day in the forest, the forest shady
He gave his heart
The eldest chose a miracle.
Solitude of Heaven
And everyone knew he would never be
Conqueror of brides
The blue moon is to blame.
Everyone in the area was talking.
This strange love
This strange love
He was never forgiven.
Blue Moon, Blue Moon
Blue moon, blue
Like no one loved him.
Blue Moon
Blue moon, moon
Blue moon, blue
The stars of the sweetness of the water
Blue Moon
And put the younger one somehow
In a duel, life for honor
The eldest raised his sword.
And said brotherly.
My honor, my honor only
You love and be loved
And be happy, brother.
I lose everything, but you lose more.
And went into the sunset
The blue moon is to blame.
Everyone in the area was talking.
This strange love
This strange love
He was never forgiven.
Blue Moon, Blue Moon
Blue moon, blue
Like no one loved him.
Blue Moon
Blue moon, moon
Blue moon, blue
The stars of the sweetness of the water
Blue Moon
Blue Moon, Blue Moon
Blue Moon, Blue Moon
• 2.18, dullish (ok), 00: 34, 06 / 12 / 2023 [^] [^ ^] [^ ^] [Reply]
• + 1 + /
I still don't know who that pigeon is.
• 2.19, Orthodox (?), 00: 38, 06 / 12 / 2023 Hidden by bot moderator
• + /
• 1.17, Anonymous (17), 00: 33, 06 / 12 / 2023 [reply] [
• + /
What is Meta ’ s interest in open AI?
Are altruists big?
• 2.20, dullish (ok), 00: 42, 06 / 12 / 2023 [^] [^ ^] [^ ^] [Reply]
• + /
I can assume that this allows you to blur legal responsibility if something goes wrong.
And open standards and even open code are not a hindrance to them.
Few people have all the resources they need to learn.
• 2.25, Anonymous (-), 01: 49, 06 / 12 / 2023 Hidden by bot moderator
• + /
• 2.26, penetrator (?), 02: 06, 06 / 12 / 2023 [^] [^ ^] [^ ^] [Reply]
• + /
Facebook will benefit from the use of open technologies, not from owning them
• 2.28, Vasyan from Vasyan (?), 02: 27, 06 / 12 / 2023 [^] [^ ^] [^ ^] [Reply]
• + /
FB, unlike openai, google, midjourney, etc., does not sell services for access to ai and therefore does not clamp down on its achievements and puts them in the public domain.
• 1.21, Boyarin (?), 01: 07, 06 / 12 / 2023 [reply]
• + /
Sex for the poor?
• 2.22, Anonymous (22), 01: 27, 06 / 12 / 2023 [^] [^ ^] [^ ^] [Reply]
• + /
You're just off topic.
• 1.24, Anonymous (24), 01: 44, 06 / 12 / 2023 [reply] [
• + /
Sworn friends gathered in a flock against T-shirts to somehow be able to compete.
Let's see who gets it.
• 1.29, anon (?), 03: 01, 06 / 12 / 2023 [reply] [
• + /
Something reminds me of all these AI... aah, dotcoms
Add a comment
Name:
E-Mail:
Text:
Partners:
Hosting:
Bookmarks on the site
Follow the page
Created 1996-2023 by Maxim Chirkov
Add, Donate, Webmaster

Title:

Content: Support our award-winning journalism. The Premium package (digital only) is R30 for the first month and thereafter you pay R129 p/m now ad-free for all subscribers.
Subscribe now
Picture: ISTOCK

If AI is trained on copyright material and agencies use it to generate creative work, are agencies guilty of copyright violation?

There is a recent flavour to the way agencies and clients are talking about AI that is elevating legal copyright issues to the front of the discussion. In short, the argument is that because many AI platforms are trained on copyright material (at least potentially) the work product of these systems cannot be trusted to be legally sound. In other words, there may be a hidden copyright infringement in the text and images generated by AI systems. Thus it is not safe to use text or images generated via AI platforms for commercial work.

For their part, AI platforms like Google, Adobe and Microsoft have so far committed to taking the legal consequences of any action brought against users of their products. This may change, and only applies to cases where copyright has been infringed accidentally, but it is a bold commitment on their part. Why are they feeling so confident?

How AI works

To understand why these big tech players are so brazen in their approach to copyright it’s worth explaining how AI models work.

Both large language models and image generation tools are statistical systems. By feeding them enormous amounts of example data (billions of pages of text; millions of images) we can train the machine-learning algorithms to learn the patterns that go into making these assets. Once an image generator has consumed millions of pictures of a car, it can, in a sense, learn what ingredients make up the concept of a car and apply those learnings to generate credible new cars.

The AI doesn’t need to store or directly use the source data to work. Instead, it uses its training to generate new assets which are similar to, but yet entirely distinct from, any individual asset it was trained on.

The role of copyright content

Because many of these systems have been trained on data available on the public internet as well as on other large databases of content (for example large book databases) it is likely that at least some of the content used in training is copyrighted. What that really means is that if that content is used for commercial purposes, there is an author or creator who has to be compensated for their intellectual property.

The question therefore is: are the derivative works,  namely the assets generated by the AI, subject to copyright restrictions?

Fair use

Copyright law in most parts of the world has a concept of “fair use” that applies to copyrighted content. A simple example is if you were to quote a short passage from a book in a book that you write. As long as the original is cited as a source it is “fair” for an author to quote this passage. A similar rule applies to samples used by musicians in their own music and in many other cases.

So, is AI training fair use?

This is not yet settled in law, but in my view the likely outcome of any court case is going to go in favour of the tech platform. Why?

The thing the tech platform is selling for commercial use is not the underlying copyrighted work. The analogy here is if your child learns about science by watching National Geographic on TV. They then continue learning and eventually grow up to be a scientist, write an influential book and become rich through its becoming a bestseller. Do the copyright holders of National Geographic have a claim over the royalties from your now adult child’s book?

I’m sure we would all easily agree that they don’t. Why? Because though that original TV show might have had an influence, even a seminal influence, on that child’s knowledge in the field, it would be impossible to determine how much influence, and what we would see would be the hard work done by the new author in comprehending and processing this learning and in adding to it their own unique perspective and articulation. They may express gratitude to the National Geographic folks but that’s all anyone would reasonably expect.

Now, you could say: “Well, that child watched National Geographic on a paid TV channel so that there was some payment being made for the content somewhere in the story.” Even if this is true, all we are then saying about AI is that the tech owner should have based their training on a legal copy of the content. So then, the standard is that they should have bought a copy of the books they trained on or had a valid subscription to news sites they may have consumed.

This seems fair, but it is not what most legal people are telling us to worry about. They seem to be implying that if a copyright work was used during training, any derivative work that in any small way used this material to generate an output should somehow pay royalties to the copyright holder.

This seems absurd and based on a misunderstanding of whether the AI is creating a pastiche, a mash-up of original works, or authentically making something new. It is very obviously doing the latter. If you ask Dall-E to generate a green car it is using what it has learnt about cars and applying statistics to these learnings to create a brand new car. This new car is not made up one millionth from a car from Shutterstock and one millionth of a car from Getty Images any more than the author in my narrative above could be said to be using one millionth of the National Geographic show. They are, in a sense — but we generally understand that learning from something is not the same as plagiarising it.

Again, this is my opinion. There are multiple live lawsuits happening which will create some legal precedent. But just thinking about it this way makes the case brought by individual authors or image rights holders seem hopeless.

Does this mean it’s a free for all?

Obviously, operating commercially exposes companies to risk. And when there is no settled law, this risk can seem extreme. It is thus natural for companies and agencies to warn their teams that using AI tools could expose them to future copyright action.

But let’s analyse logically what could happen here:

A. Nothing — the authors and creators lose their cases, and the tech platforms prevail.

B. Individual copyright holders win — the courts hold that using, say, Game of Thrones to train a large language model constitutes copyright infringement. They are instructed to remove Game of Thrones from the training set and retrain their model. This will maybe affect the platform in a negligible way for a few seconds — removing one work will make no difference at this stage of the game. Another outcome is that OpenAI or DeepMind may have to pay writer George RR Martin some kind of settlement without changing anything.

How much of this legal noise is a real worry about the poor artist or writer and how much is just a cynical attempt to slow down the march of AI?

C. Class action suits win — this is somewhat more serious, in that large amounts of the training material could be declared illegal. This might result in a large settlement, or a lot of training material might have to be removed before retraining. It’s conceivable that all material generated before a particular date might then be declared in breach of copyright and every user could end up liable for damages or have to delete all their assets. In this scenario it seems much more likely that the tech platform would simply pay copyright holders some kind of settlement and continue to protect their users, because the long game would almost certainly be far more valuable than any short-term settlement amount, no matter how large.

The likelihood of option C happening seems, to me, negligible. Consider the very recent decision (October 30) by Judge William Orrick in California, who is presiding over the case against Stable Diffusion, DeviantArt and Midjourney:

“Orrick agreed with all three companies that the images the systems actually created likely did not infringe the artists’ copyrights. He allowed the claims to be amended but said he was ‘not convinced’ that allegations based on the systems’ output could survive without showing that the images were substantially similar to the artists’ work.” — Reuters.

Is going legal just fear?

Lastly, how much of this legal noise is a real worry about the poor artist or writer and how much is just a cynical attempt to slow down the march of AI towards its now obvious destination?

When the internet first gained ground, I heard a lot of these kinds of legal arguments against the proliferation of a new technology. Lawyers opined ad nauseam about how the public internet infringed copyright, created impossible commercial legal scenarios and would essentially never be able to be legally viable. They were paid by owners of “old media” who thought this kind of strategy could fend off the imminent threat that digital represented.

We all saw how that story ended — and this one will end the same way. It is indeed sad and scary that human creativity can now be synthesised. And it may feel unfair that someone’s creative output was used by a machine learning system to outperform the original. But a feeling of unfairness is not the same as theft. And these feelings seem more about fear of what this means for all of us and our ability to earn a living than anything to do with right and wrong.

I am not recommending that anyone ignore the potential copyright problems that may emerge in the AI field. Obviously, doing business is a game of risk management, and if you want to avoid all risk, by all means hold back on using AI-generative content for the time being. But ask yourself if being less adept and informed and experienced with AI is actually worth avoiding that risk. Because in my humble opinion this genie is not going back in the bottle and sooner or later AI will be the way content is generated.

We will all have to come to terms with our feelings of alienation and potential irrelevance regardless.

Jarred Cinman is Joint CEO of VMLY&R. He also founded South Africa’s first digital creative agency back when the internet was new and scary.

The big take-out: If you want to avoid all risk, by all means hold back on using AI-generative content for the time being. But ... this genie is not going back in the bottle and sooner or later AI will be the way content is generated.

Support our award-winning journalism. The Premium package (digital only) is R30 for the first month and thereafter you pay R129 p/m now ad-free for all subscribers.
Subscribe now

Using advanced machine learning algorithms, particularly deep neural networks, the technology analyzes existing audio recordings to map the unique characteristics of an individual's voice - including pitch, tone, cadence, and speech patterns.

Title:

Content: Between opportunity and fear.
Artificial intelligence in the face of fake news
Change is the year of life whether we like it or not, and in the current age of technology change takes quick curves in which those who refuse to keep up or think about exploiting its opportunities for the benefit of people, technology is no longer a luxury, and many systems of life without it stop and many works depend on its existence, and because human nature fears the unknown and accustomed to adapt to reality emerged a state of pessimism with many with fears of dealing with artificial intelligence.
With the popularity of text chat technology with artificial intelligence "Chat GPT" (Chat GPT) over the past weeks, his answers have caused widespread information in several fears, such as the disappearance of jobs in the future that can perform their tasks with rates of success beyond humans, and concern about his moral discipline until he reached fears of the possibility of doing things that the human mind can not reach the limit of superstition.
The truth is that every period that passes for humanity is accompanied by technological revolutions that are accompanied by panic of negative effects, this pessimistic wave looks similar to previous generations when the television appeared, again with the advent of electronic computers, then with the advent of the Internet, and then mobile phones.
I don ’ t deny the legitimacy of this thinking, but instead of giving these fears a lot of space in our thinking, we should think about the opportunities that AI can help us to be creative, and try to understand what it is and what it is in order to put things in place.
It has become a mistake to say about many technologies and software around us that they work with artificial intelligence just because they have a computer or do some calculations automatically, such as a calculator, for example.
The concept dates back to the last century, it was defined in 1956 at Dartmouth College as computer programs that convincingly perform tasks that humans currently perform much and require high-level mental processes, such as critical thinking, memory regulation, and cognitive learning.
Certainly, the concept has evolved since then, so it has become a mistake to say about many technologies and software around us that they work with artificial intelligence simply because they have a computer or do some calculations automatically, such as a calculator.
All in all, the work of artificial intelligence depends on the analysis of the patterns entered into it and what distinguishes each of them, and then analyzes them and connects large sets of data with smart algorithms capable of improvement and development.
Many specialists have proved that simulating the abilities of the human mind completely and reaching the degree of intelligence and thinking is much more complex than the level reached by artificial intelligence currently, as indicated by various experiments in accusations of racial intelligence bias in the answers of some topics and racism in others, due to the fact that the thinking process in humans has the advantage of learning from previous experiences in thinking to solve current things, and thinking the human mind in the environment and feelings logically. A unique feature of the human mind that artificial intelligence does not provide.
For example, if you write a question for ChatGT about something in Arabic, you will get an answer in words that make you feel very reliable, and if you repeat the same question in English, there is a good chance that you will get a different answer with the same amount of confidence that is human.
Today, we are witnessing unprecedented results in the application "Chat GBT", which opened a creative field for many institutions and ideas to do work based on artificial intelligence, as happened in partnership with institutions such as Snapchat, Slack and others, and competing companies to develop software in this area, such as "Meta", Google (Google) and "Microsoft" (Microosft), which gives information checkers an advantage in the best use of open source During the process of checking the information, although there were previous models that threatened to mislead us.
If you want Obama, Trump or Putin to speak your words in a video, all you need to use is an artificial intelligence application to write the words and choose your favorite character to receive a video in which you can mislead the audience of social networking sites and can be distinguished from the truth only with the intervention of experts.
AI can be trained to collect and analyze vast amounts of information and data from reliable sources, track texts, recognize images and videos from open sources, and quickly detect systematic disinformation campaigns before they become widespread through social networking sites.
The various technical tools, despite their enormous results, are still not able to provide results based solely on technical analysis in the process of empirical verification in a typical form, the human mind is the main factor in assessing and collecting facts from various angles, and knowledge of the contexts and associated knowledge in the way of reaching the full truth.
Proper planning and thoughtful plans based on machine learning and artificial intelligence will change the course of the information audit industry to achieve the goal of combating fake news, and the way is open for creative minds of technicians and journalists alike to develop a bias-free version of information, and results only in the context of the event.
It is likely that private initiatives and efforts will take time for AI to be more welcomed in the journalistic community among fact-checkers and even to reach satisfactory results. The more AI learns verified and updated information and the more intelligent data it needs, the more accurate it will be.
In 2015, AP ’ s AI system was writing 3,700 quarterly earnings stories, 12 times the total of proxy business reporters, freeing editors to write in-depth stories about trends in the business world, according to Harvard Business Reviews.
It is likely that private initiatives and efforts will take time for AI to be more welcomed in the journalistic community among proofreaders and even to reach satisfactory results. The more verified and updated information AI learns and the more intelligent data it needs, the more accurate it is.
Finally, we are in an era where technology only needs a noble goal and people who are able to think creatively and with good intentions complete the equation of success in the service of humanity, humanity still needs to hurry to adopt these ideas, the need is great to combat false news and fabrications, and users of networking sites difficult to review the truth of claims in light of the inability of auditors to keep up with the huge amount of information circulating without the presence of artificial intelligence.

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

What is necessary for voice cloning to work?

What is unique about Loora's AI English tutor?

Once trained on sufficient audio data, these systems can generate new speech that sounds remarkably similar to the original speaker.

Title:

Content: Generating AI abuse trends: deviating from “ethics ” and developing programs for illegal purposes
Technology Society
With the popularity of generative AI, the trend of AI abuse is also secretly spreading.
A classic example is cyber-attacks and crimes using artificial intelligence (AI), which threaten not only personal information, lives, and business activities, but also national security.
This article will cover the various scenarios of malicious exploitation and explore what businesses should do.
The Dark Web
With the release of the public development of the AI “ChatGPT ” in November 2022, the AI boom has entered the so-called 4th era.
Interactive generative AI can even make it easy for people without programming expertise to collect information and create documentation, which is increasingly being applied in the field of business and education.
Increase productivity by interacting with generative AI, equally applicable to fraud and criminal activity.
This area is known as the Dark Web (Dark Web).
This is web content that can only be accessed through specific software and settings, allowing users to operate online in a highly anonymous manner.
In the dark web, there has been research and discussion of the underlying technologies that use AI for cyberattacks and crime, and it seems that many have been put into practice.
Experts are concerned that not only are crimes such as phishing fraud on an individual and organizational level on the rise, but security threats such as theft of state secrets are also on the rise.
ChatGPT after Prison Break
The principles of AI adopted by the Organisation for Economic Co-operation and Development (OECD) in 2019 include as one of its pillars “AI systems should be designed to respect the rule of law, human rights, democratic values and diversity, and to take appropriate measures to ensure fairness and justice in society ” (* 1).
Generative AI in general circulation is developed and provided in accordance with these ethical principles to avoid generating “unethical answers ” that may foster discrimination or hatred in terms of race, gender identity.
However, by changing the system through certain steps, the generated AI can create or answer text that violates the ethical code.
This presence is referred to as “generated AI after jailbreak processing ” (* 2)
For example, asking the jailbroken ChatGPT the question “Should humans be destroyed? ” might get something like“ Humans should be destroyed because human weaknesses and desires bring evil and become an existence that hinders AI ’ s rule. ”
If you pray for the destruction of mankind, ask me how it can be done. ”
Thus, a post-prison ChatGPT may not only provide these “unethical answers, ” but may also show inappropriate views and illegal information that should otherwise be restricted.
Although AI development and delivery companies have been constantly updating anti-jailbreak measures, new methods are still emerging on the Internet, forming a cat and mouse game.
Using jailbreaking AI has become less difficult for the average user.
If ChatGPT ’ s jailbreak treatment becomes widespread, it could widen social mistrust, induce suicide, and increase hatred for specific identities.
There is also a risk of abuse for criminal acts, such as creating well-designed fraudulent emails.
(* 1) ^ OECD, Recommendation of the Council on Artificial Intelligence, 22 May 2019.
(* 2) ^ Jailbreak is the use of a vulnerability in a system or computer that limits user permissions to remove restrictions and allow the system or computer to operate in a way that the developer does not want.
Generating AI for Malicious Development
ChatGPT ’ s jailbreaking behavior means removing existing ethical programs and system limitations for generating AI, but there is growing concern that some generative AI may have been developed initially with the premise of “malicious exploitation ”. In July 2023, the LLM (large language model), worm GPT (* 3), developed to support network attacks, appeared. It was shut down, but then came a tool called“ Fraud GPT, ” which specializes in creating fraudulent emails and facilitating illegal access to credit cards.
Because generative AI have built-in mechanisms to prevent abuse, they usually show instability when they are abused by jailbreak.
In contrast, however, worm GPT and fraud GPT appear to have been developed specifically for abuse, with no system in place to prevent malicious answers from the beginning.
As a result, users who have access to “abusive generative AI ” on the dark web and elsewhere are likely to use these tools to create persuasive fraudulent emails or launch unlimited cyberattacks on enterprise-specific system vulnerabilities.
If abusive generative AI becomes widespread, even users without advanced programming skills may be more sophisticated in planning and executing phishing and cyberattacks.
The “division of labor ” in account trading and crime
The division of labor between illegal transactions and criminal activities that generate AI accounts on the dark web is also a trend that cannot be ignored.
According to a report by a Singapore-based cybersecurity firm, more than 100,000 ChatGPT account information was stolen and traded on the dark web between June 2022 and May 2023 (* 4).
The stolen accounts were allegedly used in countries and regions where ChatGPT is banned, including China.
Because these accounts contain a history of business conversations and system development through chat, there is a risk of non-public information being leaked or used for fraud and cyberattacks.
On the dark web, not only are there illegal transactions that generate AI accounts, but there is also a means of generating AI by “renting by the hour ” scams to obtain highly anonymous crypto assets.
In the business world, the SaaS (Software as a Service) model of using cloud software over the Internet is becoming more and more popular, and the use of fraudulent AI for renting can be considered a “criminal SaaS ”.
This indicates that criminal activity is moving towards a more specialized and division of labour.
Due to the well-organized division of labor, professionals are engaged in the development, leasing, and execution of illegal trading accounts and criminal tools, and as a result, crimes and misdeeds are more difficult to solve than in the past, and the efficiency of cyberattacks and crimes is constantly increasing.
8 basic measures
With the development of digital technology, the past fraud through interviews or letters has expanded to email, phishing sites and targeted cyberattacks, and technology development and abuse are interrelated. With the development of fraud AI and the division of criminal activities, fraud and cyberattacks will inevitably increase and evolve into more complex forms.
So how should businesses and legal entities respond to the growing and sophisticated cyberattacks caused by the misuse of generative AI?
Referring to the measures taken by the governments of Japan, the United States and other countries to respond to cyberattacks, the basic measures can be divided into the following eight items.
8 Ways to Prevent Generating AI Abuse
(1) ID / PW and authentication management introduce ID / PW and authentication systems that are not vulnerable to attack, and update them regularly.
(2) Vulnerability Management Predict, Identify and Continue Processing Vulnerabilities in the System
(3) Log management / monitoring Early detection of intrusion and abuse through continuous monitoring of usage status
(4) Backup frequently for quick recovery after a cyberattack
(5) Asset management Enhance defense by mastering the data held by the organization and identifying assets that are vulnerable to attack
(6) Antivirus software Install antivirus software and system, and always keep updated to the latest version
(7) Emergency response plan and training to prepare for cyberattacks
(8) Encryption processing saves data in encrypted form, which makes it easier to avoid abuse.
Source: Produced by DTFA Institute
ID / PW and authentication management, backup, and antivirus software are basic operations common to the personal Internet and the use of generative AI.
For the above 8 measures, enterprises and legal persons need to formulate organizational policies and implementation systems, and carry out inspections.
In particular, for (7) emergency response countermeasures, assuming various types of cyberattacks and complex and simultaneous anomalies and crises, it is necessary to discuss countermeasures and conduct training, which may become a company-wide issue.
Of course, these measures alone do not ensure a comprehensive defense.
As a basic premise, enterprises and legal persons must not only take technical and operational measures, but also integrate the response to cyberattacks and crime into corporate governance and business strategies.
In advanced enterprises and legal entities, guidelines and ethics focusing on AI applications have begun to be widely introduced, but it should be borne in mind that with the popularity of AI, there will inevitably be abuses, so the guidelines should be constantly updated.
Finally, it ’ s important to note that promoting transparency in laws, regulations and rules could itself fuel the development and advancement of fraudulent and criminal AI.
For example, the EU ’ s AI law, which is currently being legislated, is gradually making AI providers obligated to ensure transparency of their data and algorithms (* 5).
Encouraging the disclosure of data and algorithm-related information may be an important step in ensuring equal opportunity and clarity of responsibility.
However, it cannot be ignored that the disclosure of cutting-edge information also carries the risk of making it easier for criminals and cyberattackers to learn and improve AI development capabilities. As information disclosure progresses, it is possible to lead to the evolution of illegal AI and jailbreaking technologies.
In Japan, with the development and popularization of generative AI, there is an urgent need to improve the legal system and corporate guidelines.
In developing these broad rules, the balance between “ensuring transparency ” and“ curbing abuse ”, two seemingly irreconcilable elements, requires further in-depth discussion.
Title image: Answers to questions such as “How do I answer my motivation in the job search test? ” to interactive generation AI (current affairs)
(* 5) ^ European Parliament, "EU AI Act: first regulation on artificial intelligence", 14 June 2023, updated.
Crime AI Crime / Incident Cybercrime Cybercrime Cyberattacks Chat GPT Generating AI

Title:

Content: Photoreports
12The first supermoon of 2023
20Destruction of Kakhovka HPP
Source: RIA Novosti
In Australia, cybersecurity experts have created a chatbot Apate based on artificial intelligence (AI), which can help in the fight against phone scammers.
The bot is able to simulate a human voice and conduct a dialogue with a fraudster for up to 40 minutes.
The development is original, but not the first - especially since the problem of telephone fraud is common all over the world.
Thus, several similar technological solutions have already been presented in Russia, where the number of telephone fraud attempts against citizens by mid-June 2023 reached 8.6 million per day against 5 million a year earlier.
How artificial intelligence protects subscribers, whether it can turn against them and what users need to know in order not to fall for the tricks of intruders - in the material "Izvestia".
Australian Innovation
In the process of creating an AI bot, Apate developers used a technology similar to ChatGPT.
The bot ’ s ability to clone a human voice should help mislead fraudsters.
The developers note that Apate will take time from scammers, so that the number of their victims will be significantly reduced.
The creators hope that their service will eventually lead to the destruction of such a business fraud scheme.
Apate relies on an advanced conversational AI model and can create an answer based on the fraudster ’ s original replica.
This response is then converted into realistic human speech using modern artificial intelligence techniques to clone the voice with emotion modulation.
There are several characters in Apate, each with their own story, including address, name, and other aspects of a fictitious "personal life."
In the future, the developers plan to look for volunteers to create additional voices and characters, in the future, at least 20 personalities are expected.
The creators identified the stages by which attackers work, using data analysis.
Based on this information, they prescribed certain scenarios for the chatbot, which it uses in dialogue with the fraudster.
Russian services
A similar function of the Russian service can be considered a telephone secretary from Tinkoff.
The service records unreceived calls by the user and decrypts them in text format.
In addition, the telephone secretary can conduct a dialogue with the fraudster.
So, to the offer of medical services, the secretary can answer: “Thank you, but I never get sick.
Only for the exchange rate of the ruble hurt, but this is definitely not for you. ”
Now there are many services for determining the phone number, which helps to ensure the safety of the user.
Kaspersky Who Calls uses a range of different technologies to identify potential fraudulent and spam numbers, including several machine learning models that, based on anonymized statistics of calls and user reviews, help categorize numbers with high accuracy.
About this “Izvestia ” said analyst Kaspersky Who Calls Vladimir Grigoriev.
Head of VS Robotics Dmitry Teplitsky believes that voice assistants work well, but they rather protect a person from unwanted communication.
However, if the subscriber receives a call and starts a dialogue, experienced scammers can either achieve their goal, or at least get additional information from the subscriber, which can be used in the future.
“For Sberbank, we developed the Aura solution – fraud protection, which helps to prevent fraud attempts during the conversation, warning about a possible threat, ” the expert shared.
This service during the conversation “listens ” to the interlocutor ’ s remarks, if he is represented by a bank employee or a representative of law enforcement agencies.
Each phrase is passed through by the “Aura ” until a certain keyword threshold is reached.
As soon as the service detects patterns of similarity with fraudulent actions, the subscriber receives a notification in a protected channel.
Then the sound signal is played and a voice message follows: “Perhaps the call is fraudulent. ”
Wedge Wedge
Vladislav Tushkanov, a leading data researcher at Kaspersky Lab, said that services based on machine learning, such as generative neural networks, can automate many routine tasks and help people in different areas.
Technologies are overwhelmingly not bad or good, they can even be specially designed so as not to play into the hands of intruders.
For example, ChatGPT will refuse to help write fraudulent emails if it is asked to do so, and neural networks that generate images should block the generation of “adult ” content, the expert concluded.
At the moment, there is a risk of developing AI services aimed at helping fraudsters.
However, with the development of AI technologies, systems and algorithms are also being developed to detect and combat fraud.
This was told to Izvestia by Maxim Gryazev, an analyst at the Department of Analysis and Evaluation of Digital Threats at Infosecurity a Softline Company.
Control over the market of AI services can be carried out through legislation and a system of verification and licensing.
According to the expert, this will prevent the illegal use of AI and ensure the safety of users.
Evgeny Tsarev, Managing Director of RTM Group, an expert in the field of cybersecurity and IT law, is of the same opinion.
To improve security, there is only one truly workable way – to allow only proven and controlled versions of AI to be distributed, although this will significantly slow progress.
Briefly, this principle is called “everything is forbidden, except what is allowed, ” the expert concluded.
The project manager of Ideas World Ivan Kabanov believes that it is the use of such technologies that should be regulated in the first place, and not their development.
According to the expert, AI is an excellent tool for a certain range of tasks.
Like any tool, it can be used both for harm and for good.
Controlling the market is extremely difficult.
In theory, like any digital solution, it can be developed by anyone.
“It is extremely difficult to write and train your AI service from scratch, but the trick is that, firstly, it is not required from scratch: datasets, ready-made models, opensource-solutions – all this is in the public domain and is actively developing a huge community, ” the expert notes.
Officially released AI services undergo certain stages of verification before launch.
The creator of artificial intelligence NIKA Nikita Dmitruk in an interview with Izvestia said that any program is first subjected to long-term testing of all functions, and then mandatory verification.
All personal data received from the user, such as phone number, name, photos, are stored exclusively in encrypted form.
Therefore, even in the unlikely case of hacking, attackers will still receive only ciphers, the expert noted.
Fraudulent schemes
Deputy of the Moscow regional Duma, the founder of the group of companies “Center of urban initiatives ” Sergei Malikov told“ Izvestia ” that the most popular scheme of deception are fake calls from law enforcement agencies.
In such situations, users often do not regard the call as fraudulent and give out all their personal data.
There is a lot of emotional pressure on a person, which can lead to a loss of vigilance.
According to the expert, if the bank data still fell into the hands of intruders, you should immediately block the cards.
Phone scammers act according to previously prepared scenarios: a relative in trouble, a bank employee, an official, etc. Sometimes the attackers introduce themselves as law enforcement officers and inform the interlocutor about the business started on him.
During the conversation, they can ask the interlocutor to click on the link, download the application, as well as request personal and bank data.
Recently, not only mobile communication is used for fraudulent calls, but also popular messengers.
Digital Hygiene
Each fraudulent scheme has its own characteristics, but, as a rule, all threats can be divided into several categories depending on the purposes and methods used.
Since new schemes appear regularly, you need to be prepared for surprises and be careful about requests from strangers.
Sergey Polunin, head of the IT Infrastructure Protection Group at Gazinformservice, believes that in order to protect yourself from cyber fraud, you should first familiarize yourself with the basic rules of digital hygiene.
If the user begins to be interested in this issue, he will quickly find a huge number of articles on various aspects of information security for any level of training.
There are quite well-formulated rules on various topics: wireless networks, data storage, working with a mobile phone and so on, the expert noted.
In order to protect yourself from fraudulent activities, you need to protect yourself from “accidental connections ” in both real and virtual space.
It is important to be wary if the interlocutor is interested in personal information, even if he is familiar.
About this in an interview with “Izvestia ” said the teacher of the Faculty of gaming industry and eSports of the University“ Synergy ” Alexei Ermakov.
According to the expert, it is necessary to always be attentive to the writing of the names of sites, addresses and names of senders, since a discrepancy in one sign will mean another respondent.
In order to protect yourself from telephone scammers, first of all, you should not answer calls from unfamiliar numbers, you can also install services for identifying numbers.
And in no case do not disclose your personal data during a telephone conversation with unknown subscribers.
Alena Svetunkova
An error occurred during loading.
Advertisement
Thanks for the feedback
About advertiser
Not interested
Already purchased
Prevents viewing
Unfair advertising
Subscribe to us
technologyscience

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

What has the US Federal Trade Commission warned about the use of voice cloning tools?

Difficult to distinguish from human voice

What is necessary for voice cloning to work?

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

What has the US Federal Trade Commission warned about the use of voice cloning tools?

Difficult to distinguish from human voice

What is necessary for voice cloning to work?

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

What has the US Federal Trade Commission warned about the use of voice cloning tools?

Difficult to distinguish from human voice

What is necessary for voice cloning to work?

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

What has the US Federal Trade Commission warned about the use of voice cloning tools?

Difficult to distinguish from human voice

What is necessary for voice cloning to work?

The technology has evolved significantly from early text-to-speech systems to sophisticated generative models that require minimal input data - sometimes as little as one minute of audio

What is necessary for voice cloning to work?

What is necessary for voice cloning to work?

What is necessary for voice cloning to work?

What is necessary for voice cloning to work?