Ah ok. I don’t know much about it, but I’ve heard that AI could sometimes be negative toward commonly discriminated against groups because the data that it’s trained with is. (Side note: is that true? someone pls correct me if it’s not). I jumped to the conclusion that this was the same thing. My bad
An AI is only as good as its training data. If the data is biased, then the AI will have the same bias. The fact that going to a women’s college was considered a negative (and not simply marked down as an education of unknown quality) is proof against the idea that many in the STEM field hold (myself included) that there is a lack of qualified female candidates but not an active bias against them.
Ah ok. I don’t know much about it, but I’ve heard that AI could sometimes be negative toward commonly discriminated against groups because the data that it’s trained with is. (Side note: is that true? someone pls correct me if it’s not). I jumped to the conclusion that this was the same thing. My bad
That is both true and pivotal to this story
It’s a major hurdle in some uses of AI
what it did it expose just how much inherent bias there is in hiring. even just name and gender alone.
An AI is only as good as its training data. If the data is biased, then the AI will have the same bias. The fact that going to a women’s college was considered a negative (and not simply marked down as an education of unknown quality) is proof against the idea that many in the STEM field hold (myself included) that there is a lack of qualified female candidates but not an active bias against them.