Author Topic: "See how machine learning is helping us tackle gender bias in movies."  (Read 7657 times)



Glad to see Google is using their technology for something that no person could possibly do.


...like... count how many female parts are in a movie?

This machine is assuming genders.

Glad to see Google is using their technology for something that no person could possibly do.
ok, categorize every character in 10,000 movies as male or female.

ok, categorize every character in 10,000 movies as male or female.

Why?

It's just creating unnecessary tension between genders. An area no one cared to begin with until someone started saying "oh this is bad, let's fix it" when it was never broken to begin with.

Why?

It's just creating unnecessary tension between genders. An area no one cared to begin with until someone started saying "oh this is bad, let's fix it" when it was never broken to begin with.
It's a worthwhile project just from a machine-learning standpoint. Face-detection is an important problem in CS.

they're basically saying there isn't enough female roles in movies while showing an example from some movie that depicts what looks like the 60s where woman didn't have roles period

Women were a mistake

google surprised that a film based on the science industry in the 60s has a lack of women in it

Rey was a garbage Mary Sue character and a perfect example of why hamfisting 2D "muh strong female lead" characters into stories they don't belong in is a terrible idea. If people want more stories about women they should write more stories about women instead of calling other writers loveist or gender bias or whatever because they don't hit arbitrary diversity standards in their fiction.

this may be up there on the list of "dumbest applications of neural networks"

why is it inherently a bad thing for a movie's cast to have a gender imbalance? if a writer makes roles for more males or more females, what does it matter? am I missing the point or does someone just get really butthurt and think women are deliberately being written out of films to oppress them or w.e?

this may be up there on the list of "dumbest applications of neural networks"
The project here is to identify gender using facial-recognition. Honestly, that's probably all Google cares about. The whole aspect of using it to improve gender diversity in movies is almost certainly a PR move.


forget off social justice warriors