Hacker News new | ask | show | jobs
by ydb 2371 days ago
Doesn't this also prove, by proxy, that this fact can potentially (if not certainly) apply to other AI & associated fields?

Forgive my ignorance, but this seems to lend credence to the popular idpol claim that the white guys programming AI are ignorant of the inherent bias their models might have.

1 comments

You are assuming that AI's are only programmed by white men, and you are assuming that it hasn't occurred to anyone who is an expert in the field of facial recognition that their algorithm's might be used with people other than white people.

These are two bold assumptions. Would you really have us believe that this is the case? I think you will find that some important information has been left off. The article suggests that asian created algorithms are better at recognising asians. It implies that they all have problems with darker skin tones. Why does the article not explore the reasons why? Perhaps they are wanting to say that algorithms can be racist, rather than the truth of the matter, which is there are certain technical issues that are difficult to overcome with darker skin tones.

An article about the technicallities of cameras and facial recognition on darker skin tones would generate a lot less clicks than "Computers are racist!"
I think that "less accuracy for a certain race" + "facial recognition used for finding criminals" is where the word bias (notably "bias" and not "racism") comes from.

The first sentence of the article backs up its usage of the word bias instead of inaccuracy:

> "...casting new doubts on a rapidly expanding investigative technique widely used by law enforcement across the United States." emphasis mine

> than the truth of the matter, which is there are certain technical issues that are difficult to overcome with darker skin tones.

Can you point to any references supporting this claim?