I saw a talk by one of the authors of the pedestrian detection study that I think they are talking about, and their results did not seem support the scary racist self-driving car hypothesis that the study clearly implies (only marginal/statistically insignificant effects, with very little controls for confounding factors (I believe they controlled for bounding box size or something, but very little else)).
With that said, fairness in ML/AI is a real problem, and some people are doing some really good/important work in this area. I am not familiar with Buolamwini's work, but I'm much more inclined to believe disparities in facial recognition than pedestrian detection where very little skin is visible and almost everything you're seeing is clothing.
With that said, fairness in ML/AI is a real problem, and some people are doing some really good/important work in this area. I am not familiar with Buolamwini's work, but I'm much more inclined to believe disparities in facial recognition than pedestrian detection where very little skin is visible and almost everything you're seeing is clothing.