Earlier quoted context omitted.
The thing is that humans are generally excellent at these sorts of pattern recognition, but these networks aren't nearly as good. Even in rigorously trained networks that operate surprisingly well, mistakes will appear that if made by a human would be treated as due to carelessness or stupidity. So, this is going to happen.
> The thing is that humans are generally excellent at these sorts of pattern recognition Humans with a lot of experience are. Would kids be? I once referred to firefighter as robots as a kid.
Facebook apology as AI labels black men 'primates'
151–160 of 291 posts
Re: Facebook apology as AI labels black men 'primates'
#152Earlier quoted context omitted.
This reminds me of a favorite tweet from 2013: "Then Google Maps was like, 'turn right on Malcolm Ten Boulevard' and I knew there were no black engineers working there" -- https://twitter.com/alliebland/status/402990270402543616 Facebook, like a lot of tech companies, has long had problems with diversity in engineering. Here's an article from April that discusses specific incidents and the broader background: https:/…
This is a contrarian take that may get me downvoted and unfairly labeled, but I encourage critical thinking instead: I've struggled with people telling me that these FAANG companies have "diversity problems," as a person of color myself. A majority of software engineers are female and male immigrants from East Asia and South Asia. These population centers are some of the most diverse regions of the world. The enginee…
Re: Facebook apology as AI labels black men 'primates'
#153I mean... It's not wrong, we're all primates.
We are, and when it labels both black and white people that, perhaps we can consider that a fair point.
Remember that nearly every cartoonist compared GWB to a chimp. In fairness, he kinda resembled one. Doing so to Obama would have been immediately flagged as racist.
I don't need a history lesson, or to be explained to why it's so different... I'm simply making an observation and asking a question.
If anyone can answer the initial question with certainty, then it is clear there is much work to do as they didn't train anything right.
Re: Facebook apology as AI labels black men 'primates'
#154Re: Facebook apology as AI labels black men 'primates'
#155Earlier quoted context omitted.
This reminds me of a favorite tweet from 2013: "Then Google Maps was like, 'turn right on Malcolm Ten Boulevard' and I knew there were no black engineers working there" -- https://twitter.com/alliebland/status/402990270402543616 Facebook, like a lot of tech companies, has long had problems with diversity in engineering. Here's an article from April that discusses specific incidents and the broader background: https:/…
Your comment implies black engineers will check that Malcom X Boulevard is pronounced correctly. That's awfully specious.
Re: Facebook apology as AI labels black men 'primates'
#156Earlier quoted context omitted.
The thing is that humans are generally excellent at these sorts of pattern recognition, but these networks aren't nearly as good. Even in rigorously trained networks that operate surprisingly well, mistakes will appear that if made by a human would be treated as due to carelessness or stupidity. So, this is going to happen.
> The thing is that humans are generally excellent at these sorts of pattern recognition Humans with a lot of experience are. Would kids be? I once referred to firefighter as robots as a kid.
Re: Facebook apology as AI labels black men 'primates'
#157Earlier quoted context omitted.
This reminds me of a favorite tweet from 2013: "Then Google Maps was like, 'turn right on Malcolm Ten Boulevard' and I knew there were no black engineers working there" -- https://twitter.com/alliebland/status/402990270402543616 Facebook, like a lot of tech companies, has long had problems with diversity in engineering. Here's an article from April that discusses specific incidents and the broader background: https:/…
> Facebook, like a lot of tech companies, has long had problems with diversity in engineering. If that is the case, why is it that Google voice nav routinely butchers the names of places and roads in India in spite of having thousands of Indian engineers on staff? Could we blame the intractability of the problem, or just plain old incompetence, before we blame every single problem in the world on racism and lack of '…
It forces a worldview where malice is the default assumption and encourages the "enemies all around us" mindset.
Re: Facebook apology as AI labels black men 'primates'
#158I think the negative reaction is reasonable. Clearly, if a human did this it would a problem, so why should it be acceptable for an automated system to do the same thing? The fact that it is unintentional doesn't negate the fact that it's an embarrassing mistake. On the other hand, imagine a world where these labels were applied by a massive team of humans instead of a deep learning algorithm. At Facebook's scale, wo…
Re: Facebook apology as AI labels black men 'primates'
#159Earlier quoted context omitted.
> Facebook, like a lot of tech companies, has long had problems with diversity in engineering. If that is the case, why is it that Google voice nav routinely butchers the names of places and roads in India in spite of having thousands of Indian engineers on staff? Could we blame the intractability of the problem, or just plain old incompetence, before we blame every single problem in the world on racism and lack of '…
Another example: Apple Maps pronounces “Jai Ho” as “high hoe”. Apparently Apple has too many Latino engineers and not enough Indian engineers?
Re: Facebook apology as AI labels black men 'primates'
#160Earlier quoted context omitted.
This reminds me of a favorite tweet from 2013: "Then Google Maps was like, 'turn right on Malcolm Ten Boulevard' and I knew there were no black engineers working there" -- https://twitter.com/alliebland/status/402990270402543616 Facebook, like a lot of tech companies, has long had problems with diversity in engineering. Here's an article from April that discusses specific incidents and the broader background: https:/…
This isn't a problem with diversity. Everybody knows how to pronounce Malcom X. And it's not like just because a google engineer was black that he was like "oh, let's try and see if Malcom X is pronounced correctly because he's black and I'm black too". This only happens in white people's brain.