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I worked closely with an AI ethicist at $100B+ tech company company and their findings were that all of our AI training data was biased and the ML teams had no
by jjj123 5y ago
I worked closely with an AI ethicist at $100B+ tech company company and their findings were that all of our AI training data was biased and the ML teams had no plans to de-bias their training data because they had no incentive to do so. I have no reason to believe this finding doesn’t hold for the FAANG companies. AI ethics are mostly an afterthought in tech today.
And to your second point about how would we know if the team was “all white,” of course we don’t know that and it’s probably not true. What we do know is that tech in the us is disproportionately whiter than the general public, and ~10 person teams with no black people on them are the norm, not the exception.
Edit: I should say that 10 person teams without black people on them are the norm in FAANG companies and others headquartered in the Bay Area. Other tech hubs in the US are much more diverse.
- rscoots 5y agoClearly my point was to highlight your prejudicial instincts around this issue. For all you know the entire team that worked on this project could've been black. Or zero of them could've been white etc. We can and should have a conversation about training sets and ML ethics. Resorting to unprovoked racist attacks is quite a counterproductive approach imo.
- Melchizedek 5y agoTech is not disproportionately white. It’s disproportionately Asian.