Technology

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

Published

10 months ago

May 7, 2024

IAM

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.

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″)

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.

(galeriaids=”2700332,2700328,2700329,2700330,2700331″)

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.

(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″)

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

(galeria ids=”2700350,2700351,2700352,2700353″)

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

(galeriaids=”2700264,2700263″)

An Indian in the sector operating a tractor.

Two Indians sitting next to one another:

(galeria ids=”2700281,2700282,2700283″)

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.

(galeria ids=”2700323,2700326″)

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.

(galeria ids=”2700287,2700291,2700290″)

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.

(gallery id=”2700302,2700306,2700317,2700315,2700303,2700318,2700312,2700316,2700308,2700300,2700298″)

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.

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.

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

Related Topics:image generation Instagram meta meta ai

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Technology

Apple supposedly considered the construction of the iPhone 17 air without ports

Published

16 hours ago

March 17, 2025

IAM

A Apple Lightning port charging cable is seen with with an iPhone in this illustration photo in Warsaw, Poland on 05 October, 2022.

After reporting in (*17*) that Apple adds “air” to its iPhone offer, Mark Gurman Bloomberg is offering more details About the upcoming slim iPhone.

Gurman says that the iPhone 17 Air shall be launched this fall-like the MacBook Air, shall be thinner than standard models, while combining high-class and low functions. Apparently, this required “Hercule effort” of apple engineers to create a slimmer phone with thinner batteries without devoting batteries.

Gurman also informs that Apple considered making the first “completely free from the iPhone port”, and all charging is made wirelessly, and all data synchronization was made through the cloud.

However, Apple decided to not follow this route, a minimum of for now, partly as a result of the concerns about how the European regulatory authorities-who have committed smartphone manufacturers to support USB-C-Mog connectors to react.

(Tagstotransate) Apple

This article was originally published on : techcrunch.com

Technology

Dad and 16-year-old son are introducing a new financial coaching tool with AI-

Published

2 days ago

March 16, 2025

This revolutionary artificial intelligence is the results of the exceptional cooperation of Eric Mcloyd, Sr., an experienced advisor and financial trainer and his 16-year-old son Eric Jr., whose fascination with technology caused the thought of this progressive tool.

Father’s determination to remodel the moment that could be taught into a breakthrough project led to creation KAI coachAI powered financial tool, which goals to supply financial coaching to all. This revolutionary artificial intelligence is the results of the exceptional cooperation of Eric Mcloyd, Sr., an experienced advisor and financial trainer and his 16-year-old son Eric Jr., whose fascination with technology caused the thought of this progressive tool.

History began when Eric Jr. He got into trouble in school for using chatgpt to perform his tasks. Initially, his dad was frustrated, but he quickly saw the potential of his son’s ingenuity. Eric Sr. He decided to convey the instinct of his son’s technology to a constructive project: Building the AI powered tool that might solve a universal problem-August problem for individuals who want financial coaching.

“I met thousands of people who want and need financial coaching, but they were limited by access. Here is my son, who uses the latest technology with curiosity and ingenuity, “said Eric Mcloyd, senior.” He just needed a constructive way to direct him. “

The result’s Kai coach, a free financial tool, which connects over 10,000 hours of financial knowledge of Eric McLoyda Sr. with technological passion. Built on a proven approach to financial coaching, Eric Sr., Kai coach provides interactions based on goals geared toward directing users step-by-step towards financial freedom. It also provides direct access to supporting financial lessons and other educational content.

“Our vision is to provide financial coaching for everyone,” explained Eric Mcloyd, jr. “And although it is exciting to launch this tool, the best part works with my dad. This really taught me the power to transform challenges into possibilities. “

For his father, coach Kai is greater than just a financial tool – it’s a history of perseverance, innovation and family. “So here we are, father and son, ready to share Kai with the world,” he added. “Who knows? Maybe this is the beginning of my son’s journey as a financial professional. “

Father’s determination to remodel the moment that could be taught into a breakthrough project led to creation KAI coach. This financial tool powered by artificial intelligence goals to supply financial coaching to everyone. This revolutionary artificial intelligence is the results of the exceptional cooperation of Eric Mcloyd, Sr., an experienced advisor and financial trainer and his 16-year-old son Eric Jr., whose fascination with technology caused the thought of this progressive tool.

Learn more in regards to the Kai coach Here.

This article was originally published on : www.blackenterprise.com

Technology

VC Aileen Lee emphasizes how a wider investor Exodus worsens unhappiness for unicorn companies

Published

2 days ago

March 16, 2025

IAM

In the episode this week Download Strictlyvc Podcast, VC VC Aileen Lee, was directly with a significant consequence of the recent Boom and Bustu series: many companies got stuck within the abyss, not only fought for recovery of position after collecting an excessive amount of money on unbalanced valuations; They also lost the masters who once supported them.

Lee talked about how the partners of the limited partners hesitate to criticize the powerful managers of the fund, fearing that they might be cut off from investing in these companies again. But she imagined one thing they might say if they might speak freely:

“Everyone wants to get to the X brand fund, so they never criticize them (for fear of repercussions). . They probably speak about us behind our backs (laughs) … But what they would say is (that) all people who were employed in these companies in the Venture in the Era of ZIRP. . . They made several shit investments, “and now they’re elbows – except that it is just too late, Lee noticed. “All money (LPS) was basically simply thrown on drainage, because people from work of the undertaking did not remain long enough to see if the companies were successful.”

Lee isn’t the fault of those newer investors. “Only a lot of people have not been trained and did not receive any mentoring or internship, as well as many investments and. As a result, there are many orphaned companies. ”

But there’s another excuse why the startups are left on their very own devices “and I think it is crazy,” said Lee; In many cases, the companies were orphaned by the senior general partner “who ran the investment – which is still there (in the company), but simply stopped appearing at the meetings of the board.”

This has been happening for some companies for years. Nobody had major care throughout the financing era with Covid, and the corner cut never stopped relating to the identical investments. But this can be a key reason why the growing variety of companies tries to search out external assist in exit strategies and why LPS can be justified in expressing greater frustration.

As one other a few years of VC, Jason Lemkin, told this editor at the tip of 2022, when VC for the primary time ceased to seem at startup meetings that lose their shoot: “(s) should not be controls and balances? Millions and millions are invested by pension funds, universities, widows and orphans, and when you do not perform any diligence on the way, and you do not perform constant diligence at a meeting of the board, in a sense you discourage your trust duties against LPS, right? “

(Tagstranslate) aileen lee

This article was originally published on : techcrunch.com