Hire more minorities in ML. One of the few industries where forced diversity is a good thing since your models will be better (wider range of opinions and sources).
See, it's not actually hard. Gebru is just correct in saying you are not listening.
See, it's not actually hard. Gebru is just correct in saying you are not listening.
Paper: https://arxiv.org/pdf/2003.03808v1.pdf
Here are the authors: Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, Cynthia Rudin
They conveniently captured an image of them all in one place for us here - https://cdn.telanganatoday.com/wp-content/uploads/2020/06/Au...
Pretty diverse team if you ask me. Sprinkling underrepresented (and therefore 'underpowered') representation into engineering teams will solve a lot of issues, but I think it has yet to be proven that it's going to help ML bias.
I mentioned before but this is the team that created the PULSE algorithm that made Obama look like a white guy from Arizona - https://cdn.telanganatoday.com/wp-content/uploads/2020/06/Au...
But one might earn some pedantry points with the argument.
https://news.ycombinator.com/item?id=23697472
Black cops shoot black men all day long. I don't see why black ML folks are going to be completely immune to all of the pressures that have allowed the domain to get to its current state. While I'm sure many would accept the challenge, it's waaay too much to ask or expect of them.
Yes absolutely this issue needs diverse perspectives and the priorities they bring, but it will fail without objective standards to ensure that technology in the field reliably meets our expectations.
It sounds like we mostly agree. It certainly doesn't hurt to have someone who's been the subject of unfair profiling before to get his spidey sense going at the implications of the system, but it isn't a cure-all.