Ethical AI researcher Timnit Gebru fired from Google
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Re: Ethical AI researcher Timnit Gebru fired from Google
#2Trying to get context, I see big names professors from Stanford, Caltech, Berkeley, Cornell all commenting/retweeting on how bad this is, so it's a big deal for sure
Re: Ethical AI researcher Timnit Gebru fired from Google
#3Any details on what happened? Trying to get context, I see big names professors from Stanford, Caltech, Berkeley, Cornell all commenting/retweeting on how bad this is, so it's a big deal for sure
> I was fired by @JeffDean for my email to Brain women and Allies.
In a later tweet, says she would repost the email publicly but she no longer has access to it. I'm guessing it will leak soon.
Re: Ethical AI researcher Timnit Gebru fired from Google
#4Does anyone else remember when she picked a fight with Yann LeCunn by deliberately misinterpreting his remarks to cast him as a racist?
Seems reasonable to assume she picked another fight. Reading the Twitter threat, it reads like she made demands in a way visible to a large number of employees (something about authorship on a paper, to skim the Twitter thread) and perhaps attacked Google while being a manager there (the emphasis on talking to non-management employees sounds like this). I assume the email will leak, this being Google we are talking about.
Re: Ethical AI researcher Timnit Gebru fired from Google
#5All this says is, she sent a mail to Brain Women and Allies that resulted in her immediate termination. Does anyone else remember when she picked a fight with Yann LeCunn by deliberately misinterpreting his remarks to cast him as a racist? Seems reasonable to assume she picked another fight. Reading the Twitter threat, it reads like she made demands in a way visible to a large number of employees (something about aut…
Re: Ethical AI researcher Timnit Gebru fired from Google
#6Re: Ethical AI researcher Timnit Gebru fired from Google
#7All this says is, she sent a mail to Brain Women and Allies that resulted in her immediate termination. Does anyone else remember when she picked a fight with Yann LeCunn by deliberately misinterpreting his remarks to cast him as a racist? Seems reasonable to assume she picked another fight. Reading the Twitter threat, it reads like she made demands in a way visible to a large number of employees (something about aut…
Re: Ethical AI researcher Timnit Gebru fired from Google
#8Any details on what happened? Trying to get context, I see big names professors from Stanford, Caltech, Berkeley, Cornell all commenting/retweeting on how bad this is, so it's a big deal for sure
One of her tweets says: > I was fired by @JeffDean for my email to Brain women and Allies. In a later tweet, says she would repost the email publicly but she no longer has access to it. I'm guessing it will leak soon.
Re: Ethical AI researcher Timnit Gebru fired from Google
#9Re: Ethical AI researcher Timnit Gebru fired from Google
#10All this says is, she sent a mail to Brain Women and Allies that resulted in her immediate termination. Does anyone else remember when she picked a fight with Yann LeCunn by deliberately misinterpreting his remarks to cast him as a racist? Seems reasonable to assume she picked another fight. Reading the Twitter threat, it reads like she made demands in a way visible to a large number of employees (something about aut…
Says she deliberately attempts to cast LeCunn as a racist is a very uncharitable framing, but putting that aside, it doesn’t actually seem reasonable to assume she picked a fight. We have no idea what was in the email.
LeCunn made repeated attempts to explain his position, only to be virtually shouted over about he wasn’t listening to people of color because he pointed out that a model trained on White people learned to produce images of White people, and that if it had been trained on Black people it would produce images of Black people. It was a research paper, not a production system, and Gebru and her acolytes were much more interested in scoring cheap points than in having a serious conversation about either ML fairness or the merits of this particular paper.
Seriously, the primary sources can be read by anyone.