The latest culprit in this area is Meta’s AI chatbot, which, for some reason, really wants to add turbans to any image of an Indian man.
We tried prompts with different professions and settings, including an architect, a politician, a badminton player, an archer, a writer, a painter, a doctor, a teacher, a balloon seller, and a sculptor.
For instance, it constantly generated an image of an old-school Indian house with vibrant colors, wooden columns, and styled roofs.
In the gallery bellow, we have included images with content creator on a beach, a hill, mountain, a zoo, a restaurant, and a shoe store.
In response to questions TechCrunch sent to Meta about training data an biases, the company said it is working on making its generative AI tech better, but didn’t provide much detail about the process.
If you have found AI models generating unusual or biased output, you can reach out to me at im@ivanmehta.com by email and through this link on Signal.
The original article contains 956 words, the summary contains 164 words. Saved 83%. I’m a bot and I’m open source!
This is the best summary I could come up with:
The latest culprit in this area is Meta’s AI chatbot, which, for some reason, really wants to add turbans to any image of an Indian man.
We tried prompts with different professions and settings, including an architect, a politician, a badminton player, an archer, a writer, a painter, a doctor, a teacher, a balloon seller, and a sculptor.
For instance, it constantly generated an image of an old-school Indian house with vibrant colors, wooden columns, and styled roofs.
In the gallery bellow, we have included images with content creator on a beach, a hill, mountain, a zoo, a restaurant, and a shoe store.
In response to questions TechCrunch sent to Meta about training data an biases, the company said it is working on making its generative AI tech better, but didn’t provide much detail about the process.
If you have found AI models generating unusual or biased output, you can reach out to me at im@ivanmehta.com by email and through this link on Signal.
The original article contains 956 words, the summary contains 164 words. Saved 83%. I’m a bot and I’m open source!