Hacker News new | ask | show | jobs
by gumboshoes 1746 days ago
Google Photos solved the problem by simply returning no results for words like gorilla, monkey, primate, etc.
2 comments

I was just thinking about that. Unfortunately it just makes the bias harder to detect.

Once you search for these:

https://www.google.com/search?q=human+female+face&tbm=isch

https://www.google.com/search?q=human+male+face&tbm=isch

You can see that 'human face' has a bit of post-hoc tuning.

https://www.google.com/search?q=human+face&tbm=isch

So disappointing. I was legitimately looking for a monkey pic I took years ago to no avail because of no searchability. One of the richest companies in the world prefers to just remove ability than to solve hard problems. But hey, at least we all get ads.
It’s an inevitable result of angry mobs (like this article and entire HN thread) and risk-intolerant corporations.

It’s impossible to test every image for accuracy and to guarantee it won’t happen again, so they just sidestep it entirely.

But what would you do if you were them? You solved 95% of the problem, you are left with 5% that are extremely hard. Would you throw a large amount of resources to solve that? And, given that you basically deal with probabilities and that the system will never work 100% anyway, and that even one mistake of that kind will cause uproar - is there any other feasible solution?