We already know why the diversity problem exists. The pipeline is broken. What do we do now though? There's no easy solution to fix the pipeline. The only thing that I can think of that can really fix the issue is trillions in reparations from the colonial european community to the minority community designed to give that community an intense decade of socio-economic catchup. But needless to say the political will for that project does not exist.
As an old AI researcher, I was expecting some words on how everyone and their grandma try to solve every "AI" problem applying neural networks nowadays, and how other algorithms (e.g. nature based, genetic, hive minds) are not even given a glance anymore.
Instead I get some racial and sexist controversy... Disappointing...
Edit: We have a diversity crisis in AI indeed, but it is in everybody thinking and trying to solve things the same way. Give a chance to other algorithms, not just what the big guys shove down your throats.
> Google Brain, OpenAI, and the media can’t solely blame the pipeline for this lack of diversity, given that there are over 1,000 women active in machine learning.
I don't find it hard to believe there could be 20,000 men active in machine learning.
> Earlier this year Vanity Fair ran an article about AI that featured 60 men, without quoting a single woman that works in AI.
Well given that apparently 94% of people working in AI are men the chances of that happening by pure luck are 54%. I thought this was a maths site?
> just 3% of Google’s technical employees are Black or Latino (despite the fact that 90,000 Black and Latino students have graduated with computer science majors in the US in the last decade)
Oh come on... If you're going to start this debate again at least do your statistics right. On a site about statistics. Doesn't give me confidence in the actual course...
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[ 7.0 ms ] story [ 30.9 ms ] threadInstead I get some racial and sexist controversy... Disappointing...
Edit: We have a diversity crisis in AI indeed, but it is in everybody thinking and trying to solve things the same way. Give a chance to other algorithms, not just what the big guys shove down your throats.
> the Google Brain team is [...] over 70% White
America is apparently 63% white.
> the Google Brain team [...] is ~94% male
> Google Brain, OpenAI, and the media can’t solely blame the pipeline for this lack of diversity, given that there are over 1,000 women active in machine learning.
I don't find it hard to believe there could be 20,000 men active in machine learning.
> Earlier this year Vanity Fair ran an article about AI that featured 60 men, without quoting a single woman that works in AI.
Well given that apparently 94% of people working in AI are men the chances of that happening by pure luck are 54%. I thought this was a maths site?
> just 3% of Google’s technical employees are Black or Latino (despite the fact that 90,000 Black and Latino students have graduated with computer science majors in the US in the last decade)
Oh come on... If you're going to start this debate again at least do your statistics right. On a site about statistics. Doesn't give me confidence in the actual course...