91–100 of 291 posts
I worked for another computer vision company, Clarifai that had the same issue. One of the employees noticed it and we retrained the model before it became public.
This is what amazes me. Given this exact thing has happened in the past and resulted in public humiliation of the companies involved, how did they not notice this? Why didn’t they check for it?
Earlier quoted context omitted.
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.
> This only happens in white people's brain. 'Eleven Jinping': Indian TV fires anchor over blooper.[1] [1] https://www.bbc.com/news/world-asia-india-29274792
Is that a result of a skewed training set or are people really hard to tell apart from gorillas if there are no obvious tells like large difference in brightness of different areas of the face?
I would be interested to know if young children would do much better in many cases. When I was quite young, I referred to some firefighters as robots.
This happened to both Google Photos and Flickr too. Which makes it an inexcusable mistake to make in 2021 - how are you not testing for this? Google Photos in 2015: https://www.wired.com/story/when-it-comes-to-gorillas-google... Flickr in 2015: https://www.independent.co.uk/life-style/gadgets-and-tech/ne...
The reason these companies don't fix these systems is because they don't know how. It is easier to remove certain outputs or retire the whole system. There is no line of code they can tweak.
I don't like these stories. It always trends towards the most inflammatory arguments, those being inherint bias and unconscious racism put upon our technology. Real issues in those topics aside, are any articles like this doing anything but feeding flames and generating ad revenue? Instead, I want to talk about pareidolia. Humans are social creatures. We have evolved to identify others of our kind and read their expr…
Oh well, it's the times we live in.
If people simply laughed at the results and fixed the problems they'd miss all the endorphin rush of outrage.
The video features white and black men. It seems like concluding the algorithm is calling black men primates is the same kind of error people are accusing the algorithm/Facebook of. i.e. The reason you think it's racist is because you assume it's talking about black people specifically suggesting you think the word is more apt to describe black people. Primates and humans are similar labels. This was almost certainly…
I don't like these stories. It always trends towards the most inflammatory arguments, those being inherint bias and unconscious racism put upon our technology. Real issues in those topics aside, are any articles like this doing anything but feeding flames and generating ad revenue? Instead, I want to talk about pareidolia. Humans are social creatures. We have evolved to identify others of our kind and read their expr…
I think the conversation can be made a lot simpler.
AI isn’t ready for anything important. Done. That’s it. If one of the pioneers in the field can’t determine black peoples from primates - it isn’t ready for driving or war or legal matters or really anything of importance.
I think we (colloquial) made something kinda cool and jumped the gun on when and where to use it.
This happened to both Google Photos and Flickr too. Which makes it an inexcusable mistake to make in 2021 - how are you not testing for this? Google Photos in 2015: https://www.wired.com/story/when-it-comes-to-gorillas-google... Flickr in 2015: https://www.independent.co.uk/life-style/gadgets-and-tech/ne...
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:/…
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 'diversity'?