5 ms·
I do not like the conclusion of the article. Increasing the diversity of the team members might be good for reducing bias, but the fact remains that darker ski
by waste_monk 8y ago
I do not like the conclusion of the article.
Increasing the diversity of the team members might be good for reducing bias, but the fact remains that darker skinned people are harder for machine vision systems to work with due to the lack of contrast.
Like that fuss a few years ago with the laptops (I want to say it was Toshiba but I'm not certain) not being able to use facial recognition to unlock the OS.
Also, this seems to be only vision systems - you'd hope LIDAR would be able to detect a pedestrian regardless of skin color.
- Ace17 8y ago> the fact remains that darker skinned people are harder for machine vision systems to work with due to the lack of contrast. Is it also harder for human drivers?
- ASalazarMX 8y agoDepending on clothing and light conditions, yes. We don't have LIDARs, though.
- samd1986 8y agoI would a real surprise if models with LIDAR inputs can detect your skin color. I also do not see what team diversity should do. Adding such a bias actually on purpose is way harder than one would think (and not the issue), and simply making a better model should be the goal of any team anyway. In the study they do say that at night the dark skinned people could actually be detected better (according to their very small validation set). Something nobody would expected. So I'd really be worried if their model makes it into production. They still have some issues at least with sample size. The thing is these types of models are really tricky to get right. When they are wrong/biased it is just because it is difficult to get right. I think it is stupid to frame this problem as a racial issue.
- malms 8y agoAnd probably also people with black coats at night / white coats in front of white walls ...