I asked another commenter as well, but what are the proposed solutions then? People are obviously upset about ML and bias, is there a place I can get a summary of actionable next steps to lessen bias in ML?
There’s not one neat trick to make it go away. There have been a number of fairness and bias workshops and forums in recent ML conferences. There’s also a growing podcast and book collection on the topic. Timnit Gebru (mentioned in the OP article) has published and participated in a bunch, maybe start there.
