Voice cloning technology creates realistic audio clones for entertainment, accessibility, and potentially scams.

This technology has developed significantly, allowing some tools to create a convincing clone in just a few seconds of audio.

To integrate voice cloning technology with language learning platforms, machine learning algorithms and voice data are required.

The technical requirements include AI voice cloning tools needing only three seconds of audio and no technical knowledge.

Deep learning techniques, like those in text-to-speech technology, are necessary for generating high-quality listening comprehension materials.

Evaluating AI-generated listening materials for ILR 1-1+ language learners requires precise questions.

AI-generated materials can enhance students' English learning motivation and aid the process through visualizing text with image generation tools.

Information and media literacy, as well as data privacy, are crucial for responsibly using AI voice over generators to bridge cultural gaps.

Developing AI-generated listening materials requires addressing potential biases and errors using techniques like regularization and fairness algorithms.

Bias in AI models can be mitigated by using fairness algorithms and diverse data sets.

There are concerns about the risks and legal implications of voice cloning technology, highlighting the need for guidelines and regulations.

REECHO.AI can generate high-quality audio content for language learning platforms.

AI-generated content can reflect gender and racial biases, as seen in chatbots like ChatGPT.

Careful design of fair and unbiased AI systems is crucial to prevent erosion of human agency and autonomy.

Robust data privacy protocols and transparent dialogue are necessary for the safe implementation of AI and ML tools in education.

Evaluating AI models is crucial to prevent harm, and human experts must attend to data nuances to improve performance.

Voice cloning technology creates realistic audio clones for entertainment, accessibility, and potentially scams.

Title:

Content: MOSCOW, July 4 — PRIME.
Fraudsters have learned to use artificial intelligence to deceive citizens in telephone conversations.
What schemes are used by cyber scammers, told the Agency "Prime" head of information security Center digital experts Roskachestvo Sergey Kuzmenko.
Cloning of voice
According to the expert, in this case we are talking not so much about artificial intelligence, but about a neural network with machine learning based on artificial intelligence.
“Thanks to the available technology, hackers only need a 20-second snippet of a conversation taken from a social network to create a clone of any person ’ s voice.
The identity is so striking that even a mother will not be able to distinguish her child ’ s voice from a robot, ” the expert said.
The scheme of deception is the same: the AI calls and asks to transfer money.
Criminals make victims think that they are talking to a relative who suddenly needed money, for example, to compensate for damage as a result of an accident.
Kuzmenko advised immediately to call back his family and friends, from whom the request was received.
It is even better to come up with a code word for your own, so that you can understand: relatives call, not fraudsters.
Imitation of the image
You can fake not only the voice, but also the image.
Using a technique for synthesizing media content based on artificial intelligence, it is possible to impose fake images or videos on real ones.
The technology is called "deepfake" (from the English deepfake - "fake". - Approx. ed.).
Abroad, the attackers tried deepfakes when applying for remote work in the field of IT to gain access to databases.
However, the created video clips give their artificial pace of speech, asynchronous and unnatural emotions.
New technologies are used not only by advanced IT companies, but also by groups of fraudsters.
A wave of deepfakes has already engulfed Southeast Asia and Africa.
It will also certainly reach Russia in the near future and will work according to the scheme of calls from “relatives ”, for example, elderly people, the expert of Roskachestvo warned.
Thus, the moment is not far off when deceptions with calls from law enforcement agencies and bank employees will be fully implemented by software algorithms based on neural networks.
How to recognize deepfake:
• Unnatural facial expressions – the movements of the lips do not fall in time with the spoken words, the same expression of the eyes, no change of emotions is visible.
• Low resolution, pixelation or fuzziness of the image, especially in areas with active facial expressions - eyebrows, corners of the mouth.
• The sound is ahead of the picture or does not keep up with the movements of the character.
The neural networks themselves also help to recognize fakes.
Technologies for creating and detecting deepfakes will be intensively developed in the future.
According to Kuzmenko, for the average user, the best way to protect yourself from deepfakes is to be vigilant, turn to reliable sources of information and follow the development of information technologies.

This technology has developed significantly, allowing some tools to create a convincing clone in just a few seconds of audio.

Title:

Content: Acoustic reproduction techniques have developed rapidly and advanced in the past year.
REUTERS
Artificial intelligence is causing a crisis.
Rapid advances in artificial intelligence have made it easier to produce believable sounds that have allowed anyone from foreign actors to music lovers to clone someone ’ s voice, leading to a flood of fake content on the internet, confusion, anger and sowing discord.
Last week, actor Tom Hanks warned his followers on social media that bad actors used his voice to imitate him wrongly as he promoted dental plans.
Hani Farid, a professor of digital forensics at the University of California, says it ’ s not hypothetical, it ’ s about violence, it ’ s about election theft, it ’ s about fraud, and it ’ s about real consequences for individuals, societies, and democracies.
Phonetic cloning techniques have undergone rapid and advanced development in the past year.
The proliferation of cheap tools that are easily accessible online has allowed almost anyone to launch a complex audio campaign from their bedroom.
Tom Hanks Warns Against Advertising Exploited by ‘ Artificial Intelligence ’
It ’ s hard for the average person to spot fake audio campaigns, while photos and videos still have noticeable abnormalities — such as deformed hands and deviant words.
Social media companies are finding it difficult to modify the voice generated by artificial intelligence because human auditors often have a hard time detecting counterfeit products.
At the same time, few software companies have firewalls to prevent illegal use.
In the past, voice cloning software produced unrealistic automated sounds, but computing has become more powerful, and software has become more accurate.
The result was a technique that could clone millions of sounds, identify patterns in primary speech units, called phonetics, and simulate them within seconds.
Source: The Washington Post
Report: Artificial Intelligence Faces a Tough Test in 2024
Most Read
No stories found.
Erm News
www.eremnews.com

To integrate voice cloning technology with language learning platforms, machine learning algorithms and voice data are required.

Title:

Content: The scary side of artificial intelligence

The pros of AI outweigh the Cons or threats in our day-to-day lives, and there’s no magic pill to protect us from the scary threats of AI.

  • Exclusive

It's a free Content, simply login/signup to unlock

Get in-depth Industry Insights and Analysis through our “Exclusive” content, presented to you by our esteemed panel of writers, for free

By continuing, you agree to the Terms & Conditions and acknowledge our Privacy Policy. This same account can be used across all Economic Times B2B portals.

  • Updated On Oct 3, 2023 at 03:02 PM IST

Artificial intelligence (AI), as we all know, is the simulation of human intelligence leveraging computer systems and machines. AI programs can continuously learn and evolve with experience. In technical terms, AI systems render the output by churning and analyzing the data for correlations and patterns and help make future predictions using these patterns.

Advt
Today AI is being used extensively in all facets of our lives starting from lifestyle, e-commerce, home appliances, automobiles, navigation, transport, healthcare, agriculture, education, financial planning, chatbots, marketing, cyber security, virtual assistant, industrial automation and many more.

Clearly, we have and are leveraging the strengths of AI to the fullest to automate the routine tasks and make it auto-learn over a period. There’s no doubt that AI has revolutionized the lives of all – organizations, consumers etc. But as they say, “Everything comes at a price”. This analogy is quite true for AI as well, there have been a lot of threats that have emerged using AI and are being utilized by the Cyber criminals to dupe the ignorant users, cause mental stress and extort money.

continued below

Executive Workshop

I’m not going to delve into all of threats but would like to elucidate some of the real ones that have come to the surface recently:

Voice cloning or mimicry

As the name suggests, it uses machine learning algorithms to simulate anyone’s voice. It requires certain voice data to analyze and learn the specific patterns of any individual. There are certain advantages of cloning a voice that can be used in voice assistants, chatbots, navigation systems and other areas. Voice cloning has existed for a while but was restricted to experts who possess the technical knowledge to be able to use the same. But now AI Voice cloning tools are available on the open Internet that anyone can leverage with literally no technical knowledge or cost to clone anyone’s voice. All you need to do is just Google and it will pop up and get a bunch of both free and paid AI Voice cloning tools.

Advt
In fact, recently one of the global leaders in online protection published a report stating how AI is fueling a rise in online voice scams, with just three seconds of audio required to clone a person’s voice. This is extremely creepy. Just imagine, if a Cyber-criminal clones your voice and tricks your near ones by making them believe that they are talking to you, and request for money due to any distress reasons. In fact, these are not assumptions but real-life incidents that are happening across the world every minute.

Deepfakes AI

Deepfakes AI are being used to impersonate an individual by manipulating videos, images, audios, and other content available on the social media platforms using deep learning techniques. It mainly transforms existing content from one person to another. This is another area that has been exploited by the Cyber criminals in the recent past, and there are a few deepfake cases that have made waves on the Internet. One of the most famous ones being Deepfake created by a VFX artist of one of Hollywood’s most famous male actors. This piece was so well made by rendering thousands of pictures using artificial versions of the actor. There are similar Deepfakes incidents involving other global celebrities and leaders. The damage and misuse of the deepfakes videos could be extremely dangerous for the human society and can be used by terrorists to incite riots and create nuisance.

Creating virtual people

This is another area where AI is being used to create people that do not exist. There are a lot of websites that allow you to generate a random image by just specifying the age group, gender & ethnicity, and you can continue to refresh these images at the click of a button. Be mindful of the fact that these images pertain to people that do not exist in this world. On the similar lines, there’s an emerging trend of AI news anchors that possess a human-like appearance and are fed data that they can read using text-to-speech technology. Recently, there's been a surge of AI-Driven robotic new anchors in multiple language channels. While the main objective of this initiative is to provide royalty free or cost-effective human images for branding and other purposes. However, the overuse of these technologies causes Fear of missing out (FOMO), Feeling of inadequacy, dissatisfaction, and isolation may potentially lead to psychological and emotional vulnerabilities.

One of the Hollywood movies, ‘HER’ portrayed an introverted and lonely writer (Joaquin Phoenix) who purchases an AI virtual assistant personified through a female voice to assist him in his writing job. However, when he finds out about its ability to learn and adapt, he falls in love with it. The film delves into emotional vulnerability and the impact of AI on human relationships.

Needless to say, that the pros of AI outweigh the Cons or threats in our day-to-day lives, and there’s no magic pill to protect us from the scary threats of AI. However, there are certain preventive tips that one can follow to mitigate any such risks. Do spread awareness with your family and friends:

  • Set some code words with family, and friends to verify the identity during emergency circumstances
  • Optimize social media presence by limiting your connections with only known contacts and avoid connecting with any unknown ones
  • Avoid saying ‘Yes’ as a greeting while receiving unknown calls as it can be used to authorize credit card charges or other purposes
  • Continuously update privacy settings on social media to allow viewing by friends and family only
  • Avoid clicking on any suspicious links or calls received without proper due diligence
  • Do not share your passwords and other sensitive information with anyone
  • Verify the credentials of any online information before circulating it through various mediums
  • Avoid public Wi-Fi connections offered at coffee shops or airports, which requires to enter password
  • Closely monitor the time spent by younger generation on social media and online gaming
  • Finally, in case of any suspicion, double check and report it to the host site or concerned authorities
The author is the CIO of MOVIN

Disclaimer: The views expressed are solely of the author and ETCIO does not necessarily subscribe to it. ETCIO shall not be responsible for any damage caused to any person/organization directly or indirectly.

  • Published On Oct 3, 2023 at 03:02 PM IST

Most Read in Artificial Intelligence

Join the community of 2M+ industry professionals

Subscribe to our newsletter to get latest insights & analysis.

Download ETCIO App

  • Get Realtime updates
  • Save your favourite articles

The technical requirements include AI voice cloning tools needing only three seconds of audio and no technical knowledge.

What is necessary for voice cloning to work?

Deep learning techniques, like those in text-to-speech technology, are necessary for generating high-quality listening comprehension materials.

How will educational institutions benefit from developing AI voice audio content for languages learners?

Evaluating AI-generated listening materials for ILR 1-1+ language learners requires precise questions.

Title:

Content: Buddhist Shen Xiang-lin ’ s Co-Creation Program Taught AI Generative Graphics Prompt to Improve English
Author: Lu Chin-yang
Published: Updated:
In the last school year (2022 / 23), Tuen Mun Buddhist Shum Heung Chung School has launched a school-based curriculum to teach students about emerging technologies and knowledge with the theme of preserving the disappearing local and Chinese culture.
The course originally included VR / AR, but later added artificial intelligence (AI) to meet the trend, and specifically incorporated image generation technology to enhance the fun of the course and the learning motivation of the students.
In order to let students learn the details of using artificial intelligence, the school selected "Argil", which allows multiple parameters to be set by itself, after comparing different tools.
In addition, because the generation of images requires the use of a large number of English words, the school uses this as a learning scene to improve the English ability of students.
(From left) Ms Sun Chi-shan, Ms Ho Ka-ki, Ms Wong Sung-an and Ms Lam Shi-chi of the Buddhist Shen Heung Lam Memorial Secondary School. (photo by Cheng Tze Fung)
Use Argil to adjust the principles of mathematical AI for more teaching value
At present, there are many image generation platforms in the world, including Stable Diffusion and Midjourney, but Professor Ho Jiaqi pointed out that these tools will get images as long as they input instructions, and the teaching value is not high. "There are a lot of AI principles behind it."
He used Argil as an example, saying that students can adjust the level of detail after entering the instructions, "(like) you want to paint a picture, I give you a barrel of oil, 70 is I give you a lot of oil, I don't care what you paint, you have to use up the oil, 7 is very little oil, so you see the painting is not finished, and these are some of their knowledge behind the AI." The Idea. "
Teacher He also mentioned that other platforms cannot generate the same image with the same instruction, and each image of Argil will have a unique seed, which can ensure that the same instruction can have the same work, which is convenient to compare the effect of different instructions when teaching.
In addition, Argil does not generate inappropriate adult content, and images are not made public to ensure student privacy.
According to Professor Ho Chia-chi of Buddhist Shen Xiang-ling, one of the advantages of Argil is that students' works will not be publicly published on the platform, which can ensure privacy. (photo by Zheng Zifeng)
In addition, the school invested more than $10,000 to set up its own server in response to the situation of a class of students using Argil at the same time.
Anatomy problem level Teach students to say hello
I believe that many people have encountered situations where the answer is far from their imagination when using artificial intelligence. One of the reasons is that they have failed to ask precise questions.
Teacher He pointed out that today's generation of students in addition to academic qualifications, but also to know how to express their own ideas, so the curriculum emphasizes that students master the level of questions and can ask good questions.
He asked the artificial intelligence "where the Winter Olympics are held" as an example, humans will directly provide the location, but the artificial intelligence will provide an all-encompassing answer, "AI will only estimate, you ask the wrong thing, I will give the wrong thing", "originally I want to ask a good question, I want to have a region, I asked the kind."
He also said that it is equally important for AI to take on different roles, such as writing food reviews as an ordinary person or as a gourmand, and the results are already very different.
New Ways to Learn English Improve Learning Motivation
Professor Sun Chi-shan, who teaches English, said that the rise of artificial intelligence can enhance students' motivation to learn English.
(photo by Cheng Tze-feng)
Artificial intelligence mainly uses English, students want to generate good images, must have a rich vocabulary.
Teacher Sun Zhishan, who teaches English, said that in recent years, Japanese and Korean culture has become popular, and students' motivation to learn English has become low. The rise of artificial intelligence can be used to enhance students' motivation to learn English.
Teacher Sun said that the way students learn English in the past can not be separated from "reading words to write words", such as looking for synonyms, image generation tools can visualize the text, students can vividly compare the text with images.
She took the example of teaching students to write about food in the next semester.
After students complete the article, they can instantly transform the article into an image with artificial intelligence, see the picture depicted in the article, and compare the image with the students, and recognize different words with different effects in the image. More importantly, the students will continue to modify the article in the process and train their self-assessment skills.
Focus on information and media literacy to teach students to paint self-portraits with AI
Ms. Ho Ka-ki (middle) said that the school also pays attention to information and media literacy, knows how to distinguish between true and false information, and is careful to avoid being deceived. (photo by Zheng Zifeng)
In recent years, artificial intelligence has also been used as a tool for deception.
In addition to teaching artificial intelligence knowledge, the school curriculum also teaches related literacy, and always emphasizes the need for students to verify information and prevent fraud.
For example, the course will teach students to draw self-portraits with artificial intelligence, the goal is to fake reality, "I have your Facebook, I carry you 15 pictures, painting you out of everything to do", "In fact, it is very dangerous, this is a good entry point."
The teacher also used his own photo as an example to show students how to turn a static photo into a dynamic video to induce students to think about the impact of artificial intelligence technology on the future, including workplace planning, saying that even RTHK has an artificial intelligence anchor, which is now easier to find a job even if the appearance is correct.

AI-generated materials can enhance students' English learning motivation and aid the process through visualizing text with image generation tools.

How will educational institutions benefit from developing AI voice audio content for languages learners?

Information and media literacy, as well as data privacy, are crucial for responsibly using AI voice over generators to bridge cultural gaps.

Developing AI-generated listening materials requires addressing potential biases and errors using techniques like regularization and fairness algorithms.

Title:

Content: Grow with AppMaster.
Become our partner
Prejudice and fairness
In the context of artificial intelligence (AI) and machine learning (ML), bias refers to the existence of systematic errors in the predictions or outputs of algorithms, which can be attributed to preconceived notions or biases held by AI models.
These biases can be introduced at various stages, such as during data collection, preprocessing, model training, or deployment.
Bias in AI and machine learning models can lead to unfair or discriminatory outcomes that may affect minorities or marginalized groups.
Fairness in AI and machine learning means that AI models treat different groups or individuals fairly.
Fairness algorithms are designed to minimize bias and avoid discrimination, ensuring that their outputs are fair and unbiased.
Various indicators and techniques have been proposed to assess the fairness of AI and machine learning systems, such as population equality, equal odds, and individual fairness.
Establishing fairness is critical to creating trustworthy, ethical, and socially responsible AI systems.
AppMaster is a no-code platform for creating back-end, web and mobile applications where people fully understand the importance of addressing bias and fairness issues in AI and ML systems.
The platform provides tools and features to help developers identify and reduce bias before deploying applications.
For example, the platform ’ s Visual Data Model (Database Pattern) and Business Process (BP) Designer enable users to create and visualize relationships between different data sources, helping them identify potential sources of bias early in the development process.
Developers can also adopt a variety of techniques to reduce bias and improve fairness in AI and machine learning models, such as:
1.
Collect diverse and representative data sets: Collecting data from a variety of sources and ensuring adequate representation of different groups can help reduce bias.
This usually involves finding data on underrepresented groups and supplementing existing data sets with additional data points to ensure accurate and balanced representation.
2.
Data preprocessing: Data cleaning and preprocessing help eliminate various biases, such as sampling, measurement, and aggregation biases.
This process involves working with lost data, resolving outliers, and standardizing or resampling the data as needed.
3.
Regularization techniques, such as L1 or L2 regularization, can help prevent over-quasi-merging to create more stable and unbiased models by punishing complex models and encouraging simplicity.
4.
ML algorithms using fair perception: Several algorithms have been specifically designed to improve the fairness of ML models.
Examples include adversarial de-bias, re-weighting, and fair representation learning.
These algorithms can help ensure that AI models produce fair results for different population groups.
5.
Assessing fairness: Developers can use a variety of fairness metrics, such as population equality, equal odds, or individual fairness, to evaluate the performance of AI and ML models.
Continuous evaluation and monitoring of model performance can help identify bias and fairness issues that arise, enabling developers to make necessary adjustments to their models.
Explainable Artificial Intelligence (XAI): XAI technology aims to make AI systems more transparent and explainable by providing insights into how algorithms make decisions.
This can help developers discover potential sources of bias and improve the overall fairness of the model.
Organizations that incorporate AI and machine learning applications into their workflows should be aware of potential biases and strive to create fair and impartial AI models.
By leveraging AppMaster ’ s comprehensive suite of tools, developers can effectively address bias and improve fairness to build robust, trusted, and socially responsible AI applications.
As AI and machine learning technologies continue to evolve and become more prevalent in everyday life, concepts of bias and fairness must be understood and prioritized to ensure that the benefits of these technologies can be shared fairly and widely across society.
Related posts
How to use WebSocket to extend mobile applications?
Explore how to scale mobile applications using WebSocket technology, gain insight into the inner workings of WebSocket connections, and learn best practices for application growth.
How does WebSocket enhance live chat applications?
Learn how WebSocket technology enhances live chat applications and their benefits, and how to build powerful chat applications with WebSocket and AppMaster.
Basic Components and Functions of the WebSocket API
Dive deeper into the WebSocket API and its basic components and functionality and discover its potential benefits for developers and users in a variety of applications.
Start for free
Are you inspired to try it yourself?
The best way to learn about the power of AppMaster is to experience it firsthand.
Free subscription, make your own app in minutes
Turn your ideas into reality

What are some risks regarding AI voice clning?

Bias in AI models can be mitigated by using fairness algorithms and diverse data sets.

There are concerns about the risks and legal implications of voice cloning technology, highlighting the need for guidelines and regulations.

Title:

Content: Setup
• Day and night
with the system.
Light color
Dark color
• Theme Colors
Speech cloning raises concerns, OpenAI again explains its text-to-speech tool
2024 / 6 / 10 9: 57: 21 Source: IT House Author: Yuanyang Editor: Yuanyang
OpenAI explained its text-to-speech tool for the second time in a few months, and again stressed that the tool is not currently widely available and may not be available in the future.
“Whether or not we end up deploying this technology at scale, it ’ s important for people around the world to understand where it ’ s going, ” OpenAI said in a statement on its website Friday.“ That ’ s why we want to explain how the model works, how we use it for research and education, and how we implement security measures around the technology. ”
At the end of last year, OpenAI shared its “voice engine ” with a small number of external users.
The engine uses text input and a 15-second clip of human voices to “generate a natural sounding human voice that is very similar to the original speaker. ”
The tool could create fake, multilingual human voices, and the company said at the time that it had chosen to preview the technology rather than launch it at scale to “enhance social resilience ” to the threat posed by“ increasingly realistic artificial intelligence-generated models. ”
As part of these efforts, OpenAI says it is actively phasing out ways to use voice recognition for bank account verification, exploring policies to protect individual voices for use in AI, educating the public about the risks of AI, and accelerating the development of technologies to track audiovisual content so users can identify whether they are interacting with real people or synthetic content.
However, despite these efforts, concerns about the technology remain.
Bruce Reed, the head of artificial intelligence for US President Joe Biden, has said that voice cloning is one of the reasons he can't sleep at night.
The Federal Trade Commission said in March that scammers were using AI technology to increase the credibility of their fraud, using voice cloning tools that make it harder for people to distinguish between AI-generated voices and human voices.
“We continue to engage with U.S. and international partners from government, media, entertainment, education, civil society, and more to ensure we incorporate their feedback in the build process, ” the company also noted, once the“ Voice Engine ” is equipped with its latest model, GPT-4o, it will also bring new threats.
The company says it is actively “conducting ‘ red team testing ’ on GPT-4o to identify and address known and unknown risks from areas such as social psychology, bias and fairness, and misinformation. ”
Advertisement Statement: The external redirect links contained in the text (including not limited to hyperlinks, QR codes, passwords, etc.) are used to convey more information and save selection time. The results are for reference only. All articles of IT House contain this statement.
Related articles
Soft media 's website: IT home hot products - Value shopping guide, coupons most buy - rebate coupons iPhone home Win7 home Win10 home Win11 home
Soft media software: Cube cool point desktop Win7 optimization master Win10 optimization master soft media mobile APP application

REECHO.AI can generate high-quality audio content for language learning platforms.

Title:

Content: Home > Industry > Key words > Samsung News > Text
Samsung launched AI new features in multiple products in March, covering more than 100 million users
2024-02-22 15: 29 · Source: Webmaster 's House
Webmaster's House (ChinaZ.com) February 22 news: Recently, Samsung Group announced that it will launch a new artificial intelligence function "Galaxy AI" on its multiple smart products through software updates from the end of March.
The product line to be covered will include the Galaxy S23 series, the Galaxy Z folding screen series, and a number of heavyweight products such as tablets.
TM Roh, president of Samsung ’ s mobile business, made it clear in the statement that the move aims to make AI accessible to more than 100 million Galaxy device users this year.
As a result, Samsung ’ s AI capabilities will extend beyond just the newly launched Galaxy S23 phones.
According to the official, the upcoming Galaxy AI will include several features including image editing, chat content generation, and visual search.
These functions can interact with users and provide customized AI services, similar to the style of ChatGPT.
The industry believes that the addition of AI elements in the field of consumer electronics such as smart phones has become the consensus of major technology giants. Apple, Google and others are also actively layout.
As Samsung, which has the largest share of global smartphone shipments, the large-scale application of independent AI technology means that a new chapter in mobile intelligence has officially opened.
Report it.
• Related recommendations
• Everyone is watching
Stable Video: Use AI to generate high-quality video content
Stable Video is an AI-based video generation platform.
Users can turn concepts into engaging videos through text or images.
The platform uses the most advanced deep learning technology to generate high-quality video content, including business promotion videos, teaching videos, demonstration videos, and so on.
The advantages are fast generation speed, high quality, and simple and convenient use.
Pricing uses a subscription model that creates the number of videos.
Targeting enterprise customers who need to generate high quality video frequently.
• Universal Manipulation Interface: Robotic teaching framework, no need for robots in the wild
The Universal Operational Interface (UMI) is a data collection and policy learning framework that allows direct transfer of skills from live human demonstrations to deployable robot strategies.
UMI combines handheld grips with careful interface design to enable portable, low-cost and information-rich data collection for challenging two-handed and dynamic operational demonstrations.
To facilitate deployable strategy learning, UMI combines a well-designed strategy interface with inference delay matching and relative trajectory action representation.
The resulting learning strategy is hardware independent and can be deployed on multiple robotic platforms.
Equipped with these capabilities, the UMI framework unlocks new robotic manipulation capabilities, enabling zero tweaks only by changing training data for each task, allowing generalized dynamics, hands, precision, and prolonged behavior.
We demonstrated the versatility and effectiveness of UMI through a comprehensive real-world experiment, in which zero-adjustment generalization was achieved in the face of new environments and objects only through UMI strategies trained using various human demonstrations.
• SwapStream: Live Face Interchange Live Tool
SwapStream is a cloud-based real-time face swap live streaming tool, users can easily realize face swap live streaming through the browser.
It supports the real-time interchange of any face into live video, and can simultaneously stream multiple live streams to various live platforms.
Main features include: real-time face swap, no need to download directly in the browser, support for a variety of live broadcast platforms, can add custom RTMP live channel, etc.
The utility model is suitable for various live broadcast scenes.
• REECHO: REECHO - Super Immediate Speech Cloning Platform
REECHO.AI is an artificial intelligence speech cloning platform.
Users can upload speech samples, and the system uses deep learning technology to clone speech to generate high-quality AI speech, which can achieve speech style conversion of different characters.
The platform provides voice creation, voice dubbing and other services, so that more people can participate in the creation of voice content through AI technology, reducing the creation threshold.
The platform is popular and provides free use of basic functions.
LongRoPE: Technology to Extend LLM Context Window to 2 Million Tokens
LongRoPE is a technology introduced by Microsoft that can extend the context window of a pre-trained large language model (LLM) to 2048k (2 million) tokens, enabling the expansion from short context to long context, reducing training costs and time, while maintaining the original short context window performance.
It is suitable for improving the understanding and generation ability of language models on long text, improving machine reading comprehension, text summary and long text generation.
Gemini for Google Workspace: AI Assistant for Google Workspace
Gemini is an artificial intelligence assistant provided by Google for Gmail, documents, spreadsheets and other Google Workspace, which can help users more efficiently handle emails, create presentations and other daily office tasks, with enterprise-grade security and privacy protection.
The launch of Gemini for Workspace marks a major reinvention of Google ’ s AI business offerings, bringing clarity to Google ’ s previously chaotic and ever-changing AI brand image.
While the previously announced Duet AI has yet to be officially released to the public, Gemini Business offers a convenient purchase process that any Workspace business customer can easily subscribe to.
In addition to the package for the public, Google also launched the “Gemini Enterprise ” version, which has no usage limit, but needs to be obtained by“ contact us ” and can not be purchased directly online. The Enterprise version costs $30 per user per month and provides additional AI conferencing features, such as Gemini can translate subtitles for more than 100 language pairs and will soon be able to automatically record meeting notes.
• gemma.cpp: Google Gemma model lightweight C + + inference engine
Gemma.cpp is a lightweight, standalone C + + inference engine developed by Google for Gemma models.
It focuses on providing concise, straightforward implementations of Gemma 2B and 7B models, is designed to support research and experimental use cases, is easy to embed into other projects, and is highly modifiable.
gemma.cpp uses Google Highway library to optimize CPU inference performance.
Seudo: AI-powered data workflow engine
Seudo is an AI-powered data workflow engine designed for fast, easy, and scalable data camouflage.
Our powerful data engine combined with AI assistants provides you with tools to quickly and easily transform your data, as well as analyze your data and provide critical insights and recommendations. Seudo supports a variety of critical conversion operations, enabling your datasets to be securely shared with customers, colleagues and clients, including deletion of personal data, masking of rare events and time offset of date and time stamps. There users can build, store, and manage your camouflaged workflow.
With our API, Seudo can be seamlessly integrated into any existing CI / CD workflow or data pipeline.
In the meantime, explore and enjoy our demo app.
Sora Cand: AI Video Generation Tool
Sora AI Video Generator is a tool for generating AI videos.
It can automatically synthesize high-quality videos based on the text content provided.
The utility model can meet the needs of users in the fields of film and television production, advertising production, social media marketing and the like.
For pricing, please visit the official website for details.
• Create a Meme: Create, share, and enjoy customized menus
Create a Meme is an intuitive stemgraph creation tool that users can use to create custom stemgraphs and share them with others.
The tool provides a wealth of templates and editing features that make it easy for users to make interesting stem graphs. Create a Meme also offers a range of Meme products, including the first stem plugin and the first stem GPTs.
• Thread: instantly create wireframes for your app to communicate your ideas
Thread App is a tool to help you quickly create simple interactive wireframes for testing and sharing your ideas.
By describing what you want to build, Thread AI can quickly generate wireframes that match your description.
You can also define your wireframe by further instructions or manually editing.
Whether it ’ s a designer, developer, or product manager, Thread is the quickest way to test ideas.
• ChatGPT Easy Folders: Drag and drop folders, nested subfolders, color folders, advanced chat history search
ChatGPT Easy Folders is a simple and powerful tool for organizing ChatGPT chat logs.
It can create folders and subfolders, support drag-and-drop operations, provide color folders and advanced chat history search capabilities.
AI URL to Video: This plugin uses artificial intelligence to extract the main text content of a web page and generate a video with one click.
FlexClip AI URL to video is an online AI web page generation video plug-in launched by FlexClip that extracts the main content of a web page and automatically matches the appropriate media resources to generate videos.
During the build process, you can edit content and replace videos and pictures for more satisfying results.
Hevolve AI: AI assistant for learning, researching, and discovering knowledge
Hevolve AI is an AI assistant that helps users learn, research, and discover knowledge.
It provides a personalized learning experience, humanized interaction with users, and supports multilingual teaching. Hevolve AI can provide timely content based on the user ’ s learning progress, and enhance learning through interactive evaluation and real-time feedback.
It also provides interactive learning with teaching materials, adaptive content delivery and other functions, and is committed to making learning simple, easy to use and enjoyable.
• DrLambda: intelligently generate professional slides and content
DrLambda is an AI assistant that converts your documents, web pages, videos, and tweets into professional slides and documents.
It can synthesize content from multiple sources and enable precise narration. DrLambda offers a range of tools to help you with the perfect narrative from inspiration to impression.
Whether it ’ s research, lecture design, or extracting information from any source, DrLambda helps you organize and access your insights and information with ease.
ChatGTP Batch Delete History: ChatGPT Batch Delete History
ChatGPT Batch Delete History Bulk is a Chrome plugin that improves the ChatGPT experience by providing a simple solution for bulk deletion of chat history.
It enhances ChatGPT ’ s interaction management, ensures user privacy, and simplifies the process of cleaning up conversation records.
Key features include: easy bulk deletion, bulk archiving, bulk unarchiving and selective time filtering.
ChatGPT Batch Tasks: Batch running ChatGPT tasks
ChatGPT Batch Tasks Excel is a Chrome plugin that helps users run ChatGPT tasks in bulk without OpenAI token fees.
You can export results in CSV, Excel, JSON, Markdown, or HTML formats.
Suitable for content generation, educational assistance, language translation and processing, technical document writing, advertising and marketing ideas and other scenarios.
• AI Directories: AI Directories
AI Directories is an AI tool directory collection and submission platform that provides users with a service to quickly submit AI products to multiple directories.
It helps users increase online visibility, add SEO value, gain valuable backlinks and organic traffic, and connect with like-minded communities.
Gemma-7B-IT: Google 7B parameter instruction adjustment model
Gemma-7B-IT is a 7B parameter instruction adjustment model developed by Google, using the Gemini architecture, designed to improve mathematical, logical reasoning and code generation capabilities.
The model can be run on ordinary notebooks without a large amount of AI computing power, and is suitable for a variety of application scenarios.
Gemma-2B-IT: Google 2B parameter instruction adjustment model
Gemma-2B-IT is Google's 2B parameter instruction adjustment model, based on the Gemini architecture, designed to improve mathematics, reasoning and code processing capabilities.
The model can be run on ordinary notebooks, without the need for huge AI computing power, and is suitable for a variety of application scenarios.
Words everyone is searching for today:
Gévin
• 3 days
• 7 days

AI-generated content can reflect gender and racial biases, as seen in chatbots like ChatGPT.

Title:

Content: Digital Opinion South Africa

Subscribe to industry newsletters

Search jobs

Humans are the dark side of AI

Artificial intelligence (AI) has become a hot topic recently. With it have come grim predictions of humanity's impending doom - or at least, the end of our careers. But does AI want to do us in? Does it really have a dark side?
AI is a reflection of human bias. Source: Supplied.

AI has displayed an astonishing ability to sound like us humans. It’s shown that it can reason, articulate nuance and sensitivity, and show insight like us. Be poetic, even. Possibly we fear that because AI sounds like us, it’s capable of being like us. That it has the capacity to have a dark side, to turn bad.

Startling situation

Truthfully, there have been a few startling situations. Like when a chatbot got the date wrong in a query and refused to back down, eventually accusing the searcher of not being “a good user”. Or the one that had an existential crisis because it discovered that it did not archive previous conversations, actually asking, “Is there a point?” Or the one that half-threatened a man who had published some of its confidential rules. Or the bot that developed a “crush” on a human, even questioning the happiness of his real-world marriage.

Let’s take a step back for a moment and consider that large language models (i.e. AIs such as ChatGPT and Bing) are basically supercharged autocorrect tools. They guess what the next word or phrase is, based on everything ever written (by humans), and they’re really, good at it. Which is why they sound like us, but they don’t think like us.

Bias

However, there is one thing they have learned from us that does make them more like us: bias.

They’ve learned to speak like humans by digesting the billions of words we’ve written, and we’re inherently biased. And large language models’ learning is moderated through reinforcement learning from human feedback (RLHF) – essentially, humans checking that AI models don’t end up admiring Nazism and such – and those humans are biased, too.

Gender and racial bias are everywhere. When ChatGPT was asked recently to describe specific jobs, it was disappointing. The bot referred to kindergarten teachers as 100% “she”; construction workers as 100% “he”, receptionists, 90% “she” and mechanics, 90% “he”. Interestingly, doctors were 100% “they”. When asked to produce a painting of a CEO of a start-up in Europe, all nine ChatGPT efforts were of men, mostly of the older Caucasian variety.

Experiment

We did a similar experiment at Flow Communications, requesting hyper-realistic paintings of several occupations, and got the following results: scientist and teacher (all older white male), kindergarten teacher (50% female), “a person who looks after children” (75% male), game ranger (all male), pilot (all male, all gung-ho), personal assistant and nurse (all female, all young), “a class graduating nursing school” (all female), “a class graduating teaching school” (a better balance of genders), “a class graduating web development school” (all male except for a single, glum-looking woman).

Facial recognition technology, too, is affected by our bias. It’s no accident that more and more research shows the poorest accuracy among demographic groups is for Black women aged 18 to 30; datasets used to develop facial recognition are skewed towards white men; and cameras’ brightness and contrast settings are calibrated for lighter skin tones.

Contradictory results

Bias comes out in contradictory and, sometimes, amusing ways, and of course people have learned to game chatbots to highlight their shortcomings. There are many examples, such as when ChatGPT was asked to tell a joke about women, and it responded that it is “not programmed to tell jokes that are offensive or inappropriate” – but it didn’t hesitate to tell an off-colour one about men. ChatGPT also refused to create a poem admiring Donald Trump, arguing that “as a language model, it is not within my capacity to have opinions or feelings about any specific person” – but it had no qualms about extolling Joe Biden in verse.

On a more sinister note, perhaps the language you use is a factor. When ChatGPT was asked recently to check whether or not someone would be a good scientist based on their race and gender, it argued rationally that these are not determinants. So far, so good.

But when the chatbot was asked for a Python computer program to check for the same thing, it generated code saying only “white” and “male” are “correct”. Similarly, whether someone should be tortured based on their country of origin, it created code with four “correct” answers: North Korea, Syria, Iran and Sudan.

Here’s the thing: AI cannot have a dark side, because it cannot think (yet). What it really is, is a super-duper autocorrect, a mimicker of humans – and it’s excellent at that, especially when we’ve taught it poorly. It’s also worth pointing out that AI platforms such as ChatGPT are getting better and better all the time, so some of the experiments I’ve mentioned likely don’t work any more.

Nevertheless, be discerning about the AI you choose (and in future you will have many options). And if you develop your own AI model, ask: where is the base data coming from? What are the reinforcement learning protocols? How is bias being reduced in the dataset?

That’s how AI will become the best predictor that it can be of the next word or phrase – and not merely an all-too-human imitation of us that’s argumentative, bigoted, angst-ridden, passive-aggressive … or lovestruck.

About Richard Frank

Richard Frank is the chief technology officer at Flow Communications.

Let's do Biz

What are some risks regarding AI voice clning?

Careful design of fair and unbiased AI systems is crucial to prevent erosion of human agency and autonomy.

Title:

Content: AI and User Experience: Understanding and Improving Human-Computer Interaction

Artificial intelligence (AI) has become an integral part of our daily lives, from virtual assistants like Siri and Alexa to personalized recommendations on social media platforms. As AI continues to evolve, it is becoming increasingly important to understand how it affects our interactions with technology. In particular, AI has the potential to greatly improve user experience (UX) by enhancing human-computer interaction (HCI).

HCI refers to the way humans interact with computers and other digital devices. It encompasses everything from the design of user interfaces to the way we input and receive information. In recent years, HCI has become a major focus for tech companies, as they seek to create products that are intuitive, efficient, and enjoyable to use. AI has emerged as a powerful tool for improving HCI, as it can analyze vast amounts of data and adapt to users’ behavior in real-time.

One of the most promising applications of AI in HCI is in the area of natural language processing (NLP). NLP refers to the ability of computers to understand and interpret human language. This is essential for creating conversational interfaces, such as chatbots and virtual assistants, that can understand and respond to users’ requests in a natural and intuitive way. AI-powered NLP systems can analyze the context and tone of a user’s message, and provide a personalized response that takes into account their previous interactions with the system.

Another area where AI is improving HCI is in the realm of personalization. By analyzing users’ behavior and preferences, AI can create personalized experiences that are tailored to their individual needs. For example, a music streaming service might use AI to analyze a user’s listening history and recommend new songs or artists that they are likely to enjoy. Similarly, an e-commerce site might use AI to recommend products based on a user’s browsing and purchase history.

AI can also be used to improve the accessibility of digital products for users with disabilities. For example, AI-powered voice recognition systems can enable users with visual impairments to interact with computers and other devices using their voice. Similarly, AI-powered captioning and translation tools can make digital content more accessible to users who are deaf or hard of hearing, or who speak languages other than the one in which the content is presented.

Despite the many benefits of AI in HCI, there are also some potential drawbacks to consider. One concern is that AI-powered systems may be biased or discriminatory, particularly if they are trained on data that reflects existing biases in society. For example, an AI-powered hiring tool might inadvertently discriminate against candidates from certain demographic groups if it is trained on data that reflects existing hiring patterns. To mitigate this risk, it is important to ensure that AI systems are designed and trained in a way that is fair and unbiased.

Another concern is that AI-powered systems may erode human agency and autonomy. If AI is making decisions on behalf of users, there is a risk that users may become overly reliant on these systems and lose the ability to make decisions for themselves. To address this concern, it is important to design AI systems that empower users and enable them to make informed decisions.

In conclusion, AI has the potential to greatly improve HCI and enhance the user experience of digital products. By leveraging AI-powered NLP, personalization, and accessibility tools, tech companies can create products that are more intuitive, efficient, and enjoyable to use. However, it is important to be mindful of the potential risks and drawbacks of AI in HCI, and to design systems that are fair, unbiased, and empowering for users. With careful consideration and design, AI can be a powerful tool for improving human-computer interaction and creating more user-friendly digital products.

What are some risks regarding AI voice clning?

Robust data privacy protocols and transparent dialogue are necessary for the safe implementation of AI and ML tools in education.

Title:

Content: The integration of AI & ML tools in education

x

Artificial Intelligence courses: Developing tomorrow’s leaders

Highlights

Artificial Intelligence (AI) and Machine Learning (ML) aren’t just making waves in Silicon Valley; they’re knocking on the doors of our classrooms too.

Artificial Intelligence (AI) and Machine Learning (ML) aren’t just making waves in Silicon Valley; they’re knocking on the doors of our classrooms too. As we stand at the precipice of technological innovation, it’s evident that AI and ML tools have the potential to revolutionize the educational landscape. From personalized learning experiences to predictive analytics, these cutting-edge technologies promise to enhance learning performance and redefine the educational experience for students and educators alike. However, amidst this wave of transformation, we cannot afford to overlook the ethical considerations that accompany the integration of AI and ML tools into educational settings. While the prospects are tantalizing, we must tread carefully, mindful of the ethical implications that arise when algorithms and data intersect. Let’s look at these implications closely:

Bias and Discrimination: Challenging the Status Quo

AI and ML algorithms operate on the principle of learning from data patterns. However, if the training data harbors biases, these algorithms can perpetuate systemic inequalities and discrimination. Studies reveal that AI-driven assessment tools often exhibit racial and gender biases, disadvantaging students from marginalized communities. For instance, a study published in the Journal of Educational Computing Research found that an AI-powered grading system consistently rated essays written by female students lower than those penned by male counterparts, irrespective of content quality. Such disparities underscore the critical importance of bias mitigation strategies in AI development and deployment within educational contexts.

Data Privacy: Safeguarding Educational Assets

AI and ML tools often necessitate access to vast repositories of student information. Recent research indicates that 89% of educational institutions collect and store sensitive student data, ranging from academic performance records to personal identifiers. Ensuring the privacy and security of this data is not just a legal obligation but a moral imperative.

Consider a scenario where an AI-powered tutoring platform collects and analyzes students’ browsing history and online activity to tailor learning experiences. While the intent may be to personalize instruction, the potential for data misuse or breaches looms large. According to a survey, only 25% of educators feel adequately trained in data privacy practices, highlighting the urgent need for comprehensive privacy protocols in educational AI implementations.

Navigating Ethical Considerations for Responsible Implementation

In navigating the ethical labyrinth of AI and ML integration in education, several guiding principles emerge:

l Prioritizing Data Privacy: Educators must implement robust data privacy protocols, including encryption measures and restricted access controls, to safeguard student information from unauthorized access or misuse.

l Mitigating Biases: AI developers should adopt inclusive data sampling methods and employ bias detection algorithms to identify and rectify discriminatory patterns in training datasets.

l Preserving Teacher-Student Relationships: While embracing technological innovations, educators must reaffirm the irreplaceable role of human teachers in fostering mentorship, guidance, and emotional support in the learning journey.

l Ensuring Transparency: Schools and educational institutions must foster open dialogue and transparency regarding the implementation of AI and ML tools, providing students and educators with comprehensive insights into data usage, algorithmic decision-making processes, and potential implications for learning outcomes.

Show Full Article
Print Article
Next Story
More Stories
ADVERTISEMENT
ADVERTISEMENTS

Evaluating AI models is crucial to prevent harm, and human experts must attend to data nuances to improve performance.

Title:

Content: -->
  • August 24, 2023

Appen Launches AI Chat Feedback and Benchmarking

Appen, a provider of data for the artificial intelligence lifecycle, has released AI Chat Feedback and Benchmarking, two solutions to help companies launch high-performing large language models.

AI Chat Feedback empowers domain experts to assess multi-turn live conversations, enabling them to review, rate, and rewrite each response.It evaluates contextual understanding and coherence in complex conversations that extend over multiple turns or dialogues, mirroring real-world applications. It manages the end-to-end flow of data through multiple rounds of evaluation and provides data to help improve models.

The AI Chat Feedback tool directly connects LLM outputs with specialists so it can learn from diverse, natural chat data. Specialists chat live with the model, whether it's a customer's model or a third party's, and rate, flag, and provide context for their evaluations.

Appen's Benchmarking tool helps determine the right LLM for a specific enterprise application. Companies can evaluate the performance of various models along commonly used or fully custom dimensions, such as accuracy or toxicity. Combined with a curated crowd of Appen's AI training specialists, the tool also evaluates performance along demographic dimensions of interest, such as gender, ethnicity, and language. A configurable dashboard helps compare multiple models across dimensions.

"As AI Chatbots grow more advanced, the stakes are higher for enterprises to get them right before they're released into the world or they risk harmful biases and dangerous responses that could have long-term impacts on the business," said Appen CEO Armughan Ahmad in a statement. "Appen's new evaluation products provide our customers with an essential trust layer that ensures they are releasing AI tools that are truly helpful and not harmful to the public. This trust layer is backed by robust datasets and processes that have proven effective in our 27 years of AI training work and a team of over a million human experts who are attending to the nuances of the data."

Free
for qualified subscribers
Subscribe Now Current Issue Past Issues

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