3 ms·
ethnicity is what you mean. unless you are claiming, the AI's model didn't have the concept of "race" in it's training data but was able to come up with a novel
by notepad0x90 1y ago
ethnicity is what you mean. unless you are claiming, the AI's model didn't have the concept of "race" in it's training data but was able to come up with a novel classification scheme that aligns with society's concept of race.
AI confirming human bias because it was trained on it doesn't mean much.
- rayiner 1y agoEthnicity is what I mean.
- selimthegrim 1y agoI absolutely promise you it would fail massively in my case.
- rayiner 1y agoWhy?
- selimthegrim 1y agoMy self reported ethnicity is based on my mother’s birthplace. Both of my parents have substantial genetic ancestry different from that location.
- anthk 1y agoIn Spain and not to mention Latin America with even Japanese and German people in Brazil it would collapse.
- shadowgovt 1y agoActually, from the quoted study, you do mean race. "In a recent study, published in Lancet Digital Health, NIH-funded researchers found that AI models could accurately predict self-reported race in several different types of radiographic images—a task not possible for human experts. These findings suggest that race information could be unknowingly incorporated into image analysis models, which could potentially exacerbate racial disparities in the medical setting." That's why they're trying to understand how the model is flawed: race isn't biologically real, so there isn't a correlator that the system can pick up on. They are therefore looking for explanations like Google's AI that hid hints to itself using steganography in its training data (https://hackaday.com/2019/01/03/cheating-ai-caught-hiding-data-using-steganography/ https://hackaday.com/2019/01/03/cheating-ai-caught-hiding-da...).
- deleted 1y ago[deleted]