The discussion of "ethics" in ML tend to revolve around race and sex in order for large organizations to pretend they have some moral high ground when their mod

The discussion of "ethics" in ML tend to revolve around race and sex in order for large organizations to pretend they have some moral high ground when their models are being used to ruin peoples lives and enable billion dollar companies to not hire and manage non technical employees to make human decisions involving human problems. These people _are_ evil and their code and models are being used for destructive purposes, and so we are forced to read about their "ethics" applied to some obscure race, sex or "toxicity" problems as a way to cope with themselves. Banning someone on youtube for being racist is objectively less good than banning a team of people from pursuing their livelihoods, but focusing on the prior is a great way to distract from the fact that with a revenue over $50,000,000,000 they can't hire a small fleet of people to handle customer and partner relations. If it makes you feel better though, you don't have to see opinions on the internet that google data scientists deem toxic as often.