Earlier quoted context omitted.
Systemic discrimination is indeed a real world problem. That's exactly the problem. AI ethics doesn't help solving systemic discrimination for the simple reason that AI is not causing systemic discrimination. AI systems are trained on data. There's an abundance of English data which is why systems are often biased to work better on English. Similarly, an image recognition system might be biased if you don't provide i…
> Identifying which ML models _actually running in production_ cause systemic discrimination (e.g. as you mentioned poor image recognition, bail predictions, etc.) is exactly focusing on real issues that... cause systemic discrimination. There's nothing systemic about these issues. I already mentioned it's a data problem. Nothing new. It's very easy to build a fair image recognition system by representing all demogra…
I wish it was easy. Unfortunately, reality is more complicated, as it tends to be [1,2,3,4].
[1] https://arxiv.org/abs/2010.03058
[2] https://arxiv.org/abs/1911.05248
[3] https://arxiv.org/abs/2008.11600
[4] https://arxiv.org/abs/1905.12101
> Some AI ethics researchers cherry pick on those mistakes to justify their entire research.
This is a weird statement. This is like saying police cherry pick on criminals to justify their existence.
Do you not believe in harm reduction? Don't you think some part of AI research should be dedicated to minimizing how many "AI systems will continue to make mistakes"?