Friday, 3 July 2020

Yann LeCun attacked by "bias researcher"

https://news.ycombinator.com/item?id=23696427&ref=hvper.com

https://www.reddit.com/r/MachineLearning/comments/hhonq4/d_yann_lecuns_last_substantial_post_on_twitter/fwdwpo7/

A comment from the reddit thread -
A paper demonstrating depixelation of faces was released, and once people figured out that it would (among many other mistakes) often depixelate pictures of black faces into ones with white features. ML twitter immediately starts talking about how "problematic" and unethical this research is, etc.
In the middle of this confused uproar, LeCun tweets that the model's biased behavior should be expected as it was trained on a majority-white dataset. (he later makes it clear he was speaking of that paper specifically)
He got some pushback immediately following that, but the focal point was Timnit Gebru's quote-tweeting him and saying she was sick and tired of his framing. She then makes it clear that if he doesn't reply he is ignoring her because of her race and gender. Despite her having made no claim of substance thus far, LeCun responds with a huge thread calmly explaining his reasoning.
But that was not good enough for her - her only response to his thread was that engaging with him is a waste of her time and that it's not her job to educate him.
LeCun himself has been clear in his desire to come to an understanding, and that he has no fundamental disagreement with her. Gebru has uttered nothing but abuse and accusations.
Following his thread others have joined the chorus, and he has been accused of gaslighting, mansplaining, tone policingracismsexism, and more besides. Throughout the week, well-known figures have been queueing up to tell everyone just how despicable his behaviour is, and how only people like Timnit Gebru can show us the way forward.
What happened? A bias researcher misunderstood one of LeCun's tweets and made it her mission to punish him. The entire community fell for it.

and from ycombinator -


In this case, ironically, it seems that an AI could incorrectly depixelate faces of suspects caught by surveillance cameras to white instead of black. Which would lead to a bias against white people.

Please take a look at the PULSE model card here:
PULSE is published as an art project, not suitable for face recognition or upscaling. It can only generate 'imaginary faces'.
They didn't even train the GAN they were using, it was borrowed from another paper. They probably used StyleGAN because it was a nice high quality generator and they invented a novel way to use GANs so they needed a toy model to showcase their algo.

Agreed. I was only pointing out that even bias is a matter of bias: if white faces had been depixelated to black faces instead of the other way around, the authors could have still been accused of a racist bias (because of the hypothetical scenario I've described above).

and -


> incommensurable
This is pretty much the issue at its core.
The real question is, if Yann is so smart, why is he arguing with people on Twitter?

He did leave Twitter though, so not a complete fail on his part.