Chief AI Scientist at Facebook, Yann Lecun, quit Twitter after a back and forth with this particular AI researcher - https://syncedreview.com/2020/06/30/yann-lecun-quits-twitter... >I’m always amazed at how people can continue to do thing after thing like this and then turn around and ask me for some sort of extra DEI work or input. This happened to me last year. I was in the middle of a potential lawsuit for which K…
The tone of her replies is regrettable: Yann: “ML systems are biased when data is biased" Timnit: “I’m sick of this framing. Tired of it. Many people have tried to explain, many scholars. Listen to us. You can’t just reduce harms caused by ML to dataset bias. Even amidst of world wide protests people don’t hear our voices and try to learn from us, they assume they’re experts in everything. Let us lead her and you fol…
In this case, the issue is that "it's the dataset" is attacking a straw man: nobody is accusing ML practitioners to be explicit racists actively conspiring for their models to be racially biased. Everyone understands that it is (often) a result of the underlying dataset.
But, the argument goes, understanding the genesis of such bias isn't enough to excuse it. At least not when those models are put to actual use in, say, law-enforcement contexts. Or credit agencies, or hiring decisions, or really anything.
If your dog happened to bite any red-haired kid it came across, it doesn't matter that you think red-haired kids are just as good as others, or that the dog was once mistreated by a red-haired kid. You're not going to allow the dog to get near any red-haired kids. And if you do, you'll face charges of at least negligence when some red-haired kid gets mauled.
To tie this back to AI, it would mean that as long as your models produce racially biased results, they simply aren't ready for deployment or publication. Go find better data until your work is no longer liable to inflict harm on anybody.
That's the standard for all other industries: if your car is shown to reliably kill pedestrians below a certain height in crash tests, you go back to the drawing board. Adding a sticker "don't operate car in the vicinity of children" isn't enough.
You can disagree with that reasoning (although you'd be wrong). What you can't do, as a leader in AI, is to pretend to have never heard of it, or that it is so obviously wrong that it warrants no reply whatsoever.
> have to call out the "I'm so tired" bit every time I see it.
so... I guess you're tired of it?