Expanding the dataset and/or using a subset of it?
> “I think that now a lot of people have understood that we need to have more diverse datasets, but unfortunately I felt like that’s kind of where the understanding has stopped. It’s like ‘let’s diversify our datasets. And that’s kind of ethics and fairness, right?’ But you can’t ignore social and structural problems.“
This seems to be saying that Yann LeCun should actually be addressing social and structural problems, rather that just applying neural networks to data sets.
https://syncedreview.com/2020/06/30/yann-lecun-quits-twitter...
I don’t know what the right answer is but plenty of institutions come up with ways they attempt to deal with systemic biases. For example, blind auditions for positions in orchestras (you only hear the person auditioning, you can’t see them). Used to not be a thing. Now it is.
Point being that when people are motivated they are able to come up with stuff.
Someone in another thread on this had IMO a great comment[1] summarizing the sentiment:
> If you are going to say "Well, garbage-in, garbage-out!", why do you keep putting the racist garbage in?
It's a collection of images uploaded by random flickr users with permissive licenses.
What if you're a nuclear engineer that just wanna make the hot bit go hotter, and don't want to care about the nasty habit that radiation has of killing people?