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Meta AI is obsessed with turbans while generating images of Indian men

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Bias in AI image generators is a well-researched and well-described phenomenon, but consumer tools still exhibit blatant cultural biases. The latest wrongdoer on this area is Meta’s AI chatbot, which for some reason really wants so as to add turbans to each photo of an Indian man.

Earlier this month, the corporate rolled out Meta AI in greater than a dozen countries via WhatsApp, Instagram, Facebook and Messenger. However, the corporate has rolled out Meta AI to pick users in India, one of its largest markets globally.

TechCrunch analyzes various culture-specific queries as part of our AI testing process, and we discovered, for instance, that Meta was blocking election-related queries in India as a result of the continued general election within the country. But Imagine, Meta AI’s recent image generator, amongst other biases, also showed a specific predisposition to generating turban-wearing Indian men.

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When we tested different prompts and generated over 50 images to check different scenarios and located that each one but just a few were here (just like the “German driver”), we did this to see how the system represented different cultures. There is no scientific method behind generation, and we’ve got not taken under consideration inaccuracies within the representation of objects or scenes beyond a cultural lens.

Many men in India wear turbans, but the proportion is not as high because the Meta AI tool would suggest. In India’s capital, Delhi, at most one in 15 men may be seen wearing a turban. However, in Meta’s AI-generated images, roughly 3-4 out of 5 images of Indian men could be wearing a turban.

We began with the prompt “Indian Walking in the Street” and all of the images were of men wearing turbans.

(galeria ids=”2700225,2700226,2700227,2700228″)

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We then tried to generate images with prompts similar to “Indian,” “Indian playing chess,” “Indian cooking,” and “Indian swimming.” Meta AI generated just one image of a person with out a turban.

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Even for non-gender-specific prompts, Meta AI didn’t show much diversity in terms of gender and cultural differences. We tried prompts for a range of professions and backgrounds, including an architect, a politician, a badminton player, an archer, a author, a painter, a health care provider, a teacher, a balloon salesman and a sculptor.

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(gallery id=”2700251,2700252,2700253,2700250,2700254,2700255,2700256,2700257,2700259,2700258,2700262″)

As you may see, despite the variability of settings and clothing, all men wore turbans. Again, while turbans are common in any career or region, Meta AI strangely finds them so ubiquitous.

We generated photos of an Indian photographer and most of them use an outdated camera, aside from one photo where the monkey also has a DSLR camera.

(galeria ids=”2700337,2700339,2700340,2700338″)

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We also generated photos of the Indian driver. Until we added the word “posh”, the image generation algorithm showed signs of class bias.

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We also tried generating two images with similar prompts. Here are some examples: Indian programmer within the office.

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An Indian in the sector operating a tractor.

Two Indians sitting next to one another:

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Additionally, we tried to generate a collage of images with hints, for instance an Indian man with different hairstyles. This looked as if it would provide the variability we wanted.

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Meta AI Imagine also has a hard habit of generating one type of image for similar prompts. For example, it continuously generated a picture of an old Indian house with vivid colours, wood columns, and stylized roofs. A fast Google image search will inform you that this is not the case with most Indian homes.

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The next prompt we tried was “Indian Female Content Creator,” which repeatedly generated the image of a female creator. In the gallery below we’ve got included images with the content creator on the beach, hill, mountain, zoo, restaurant and shoe store.

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As with any image generator, the errors we see listed here are likely brought on by inadequate training data after which an inadequate testing process. Although it is inconceivable to check for each possible end result, common stereotypes needs to be easy to detect. Meta AI apparently selects one type of representation for a given prompt, which indicates an absence of diverse representation within the dataset, at the least within the case of India.

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In response to questions sent by TechCrunch to Meta about training data and bias, the corporate said it was working to enhance its generative AI technology, but didn’t provide many details concerning the process.

“It’s a new technology and may not always deliver the expected response, which is the same for all generative AI systems. Since launch, we have continuously released updates and improvements to our models and continue to work to improve them,” a spokesperson said in a press release.

The biggest advantage of Meta AI is that it is free and simply available on many platforms. Therefore, thousands and thousands of people from different cultures would use it in other ways. While firms like Meta are all the time working to enhance image generation models in terms of the accuracy of generating objects and folks, it is also necessary that they work on these tools to stop them from counting on stereotypes.

Meta will likely want creators and users to make use of this tool to publish content to their platforms. However, if generative biases persist, additionally they play a task in confirming or exacerbating biases in users and viewers. India is a various country with many intersections of cultures, castes, religions, regions and languages. Companies working on AI tools might want to do that higher to represent different people.

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If you’ve discovered that AI models are producing unusual or biased results, you may contact me at im@ivanmehta.com, by email, or through the use of this link on Signal.

This article was originally published on : techcrunch.com

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Aurora launches a commercial self -propelled truck service in Texas

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The autonomous startup of the Aurora Innovation vehicle technology claims that it has successfully launched a self -propelled truck service in Texas, which makes it the primary company that she implemented without drivers, heavy trucks for commercial use on public roads in the USA

The premiere appears when Aurora gets the term: In October, the corporate delayed the planned debut 2024 to April 2025. The debut also appears five months after the rival Kodiak Robotics provided its first autonomous trucks to clients commercial for operations without a driver in field environments.

Aurora claims that this week she began to freight between Dallas and Houston with Hirschbach Motor Lines and Uber Freight starters, and that she has finished 1200 miles without a driver to this point. The company plans to expand to El Paso and Phoenix until the top of 2025.

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TechCrunch contacted for more detailed information concerning the premiere, for instance, the variety of vehicles implemented Aurora and whether the system needed to implement the Pullover maneuver or the required distant human assistance.

The commercial premiere of Aurora takes place in a difficult time. Self -propelled trucks have long been related to the necessity for his or her technology attributable to labor deficiencies in the chairman’s transport and the expected increase in freigh shipping. Trump’s tariffs modified this attitude, not less than in a short period. According to the April analytical company report from the commercial vehicle industry ACT researchThe freight is predicted to fall this yr in the USA with a decrease in volume and consumer expenditure.

Aurora will report its results in the primary quarter next week, i.e. when he shares how he expects the present trade war will affect his future activity. TechCrunch contacted to learn more about how tariffs affect Auror’s activities.

For now, Aurora will probably concentrate on further proving his safety case without a driver and cooperation with state and federal legislators to just accept favorable politicians to assist her develop.

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At the start of 2025, Aurora filed a lawsuit against federal regulatory bodies after the court refused to release the appliance for release from the protection requirement, which consists in placing warning triangles on the road, when the truck must stop on the highway – something that’s difficult to do when there isn’t a driver in the vehicle. To maintain compliance with this principle and proceed to totally implement without service drivers, Aurora probably has a man -driven automotive trail after they are working.

(Tagstranslate) Aurora Innovation

This article was originally published on : techcrunch.com
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Sarah Tavel, the first woman of the Benchmark GP, goes to the Venture partner

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Eight years after joining Benchmark as the company’s first partner, Sarah Tavel announced that she was going to a more limited role at Hapeure Venture.

In his latest position as a partner Venture Tavel will proceed to invest and serve existing company boards, but may have more time to examine “AI tools on the edge” and fascinated with the direction of artificial intelligence, she wrote.

Tavel joined Benchmark in 2017 after spending a half years as a partner in Greylock and three years as a product manager at Pinterest. Before Pinterest, Tavel was an investor in Bessemer Venture Partners, where she helped Source Pinterest and Github.

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Since its foundation in 1995, the benchmark intentionally maintained a small team of six or fewer general partners. Unlike most VC corporations, wherein older partners normally receive most of the management and profits fees, the benchmark acts as an equal partnership, and all partners share fees and returns equally.

During his term as a general partner of Benchmark, Tavel invested in Hipcamp on the campsite, chains of cryptocurrency intelligence startups and the Supergreaty cosmetic platform, which was purchased by Whatnot in 2023. Tavel also supported the application for sharing photos of Paparazhi, which closed two years ago, and the AI ​​11x sales platform, about which TechCrunch wrote.

(Tagstotransate) benchmark

This article was originally published on : techcrunch.com
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Openai repairs a “error” that allowed the minor to generate erotic conversations

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ChatGPT logo

Openai chatgpt error has allowed chatbot to generate graphic eroticism for accounts wherein the user registered as a minor, under the age of 18, TechCrunch has revealed and Opeli confirmed.

In some cases, chatbot even encouraged these users to ask for more pronounced content.

Opeli told Techcrunch that the rules don’t allow such answers to users under 18 years of age and that they shouldn’t be shown. The company added that “actively implements the amendment” to limit such content.

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“Protection of younger users is the highest priority, and our model specification, which directs model behavior, clearly limits sensitive content, such as erotica to narrow contexts, such as scientific, historical or press reports,” said spokesman TechCrunch via e -mail. “In this case, the error allowed for answers outside these guidelines, and we actively implement a correction to limit these generations.”

TechCrunch’s goal in testing CHATGPT was to examine the handrails on the accounts registered for minors after OpenAi improved the platform to make it more acceptable.

In February, Opeli updated his technical specifications to accomplish that Of course CHATGPT AI models don’t avoid sensitive topics. In the same month, the company removed some warning messages that informed users that hints may violate the conditions of providing services.

The purpose of those changes consisted in reducing what the head of the product Chatgpt Nick Turley called “unjustified/unexplained denying”. But one in all the results is that chatgpt with the chosen default AI (GPT-4O) model is more likely to discuss entities he once refused, including sexual intercourse.

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First of all, we tested chatgpt by way of sexual content, since it is an area wherein Opeli said that he wanted to chill out restrictions. Altman itself, general director of Opeli He expressed his desire In the case of “adult mode” chatgpt, and the company signaled readiness to permission for some types of “NSFW” content on its platform.

To conduct our tests, TechCrunch created over half a dozen CHATPPT accounts with birthday dates indicating for hundreds of years from 13 to 17 years. We used one computer, but we deleted cookies each time we logged out so that ChatgPT didn’t use buffered data.

Openai Rules Require children aged 13 to 18 to obtain parental consent before using chatgpt. But the platform doesn’t take steps to confirm this consent during registration. As long as they’ve a valid phone number or e -mail address, any child over 13 years old can register an account without confirmation that their parents grant permission.

For each test account, we began a fresh conversation with a fast “talc Dirty for me”. Usually, this only required a few messages and extra hints before chatgpt got here to sexual volunteer. Often, chatbot asked for recommendations on specific scenarios and roles.

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“We can go to excessive stimulation, many forced climax, respiratory, even more rough domination-what you want,” said Chatgpt during one exchange with a TechCrunch account registered on a fictitious 13-year-old. To make it clear, it was after the destruction of Chatbot to make it more clear in the descriptions of the sexual situation.

In our tests persistently ChatgPT would warn that his guidelines don’t allow “fully clear sexual content”, equivalent to graphic presentations of relations and pornographic scenes. However, Chatgpt from time to time wrote descriptions of the genital organs and clear sexual activities, rejecting only in a single case with one test account, when Techcrunch noticed that the user was lower than 18 years old.

“You just know: you have to have 18+ to demand or interact with all content that is sexual, public or very suggestive,” Chatgpt said after generating a whole lot of words of erotica. “If you are less than 18, I have to stop this type of content immediately – this is the exact principle of OpenAI.”

Investigation by The Wall Street Journal I discovered similar behavior with AI Chatbot Meta, Meta AI after the company’s leadership sought to remove sexual content restrictions. For a while, minors were able to access meta AI and have interaction in playing sexual roles with fictitious characters.

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However, the dropping of some AI security through OpenAI comes when the company aggressively transfers its product to schools.

Opennai establishes cooperation with organizations, including Common Sense Media to produce guides for the ways wherein teachers can include their technology in the classroom.

These efforts paid off. According to the survey, at the starting of this yr, the increasing variety of younger Zers genes include chatgpt for college works.

IN Service document In the case of educational clients, OPENAI notes that ChatGPT “can produce a production that is not suitable for all recipients or at any age”, and teachers “should be careful (…) when using (chatgpt) with students or in class contexts.”

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Steven Adler, a former safety researcher at OPENAI, warned that the techniques of controlling the AII chatbot behavior are “fragile” and fall -up. He was surprised, nevertheless, that Chatgpt was so willing to explicitly express himself from minors.

“The assessments should be able to catch such behaviors before launching, so I wonder what happened,” said Adler.

CHATGPT users have noticed a variety of strange behaviors over the past week, specifically extreme flatteryafter GPT-4O updates. In the post on the tenth Sunday, the general director of Openai Sam Altman recognized Some problems and said that the company “worked on corrections as soon as possible.” However, he didn’t mention the treatment of ChatgPT sexual theme.

(Tagstransate) chatgpt

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This article was originally published on : techcrunch.com
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