And even if we could provide the training algorithm a perfectly diverse dataset, who gets to decide what that means? You could probably poll a million anthropologists from across the world and observe trends, but no certain consensus. What if polling anthropologists in underdeveloped nations skews in a different direction than what we consider rich countries? How about if a country was a colonizer in the past or has participated in a violent revolution?

How do we decide who qualifies as an anthropologist? Is a doctorate required, or is a college degree with numerous publications sufficient?

I don’t think we’ll ever see a perfectly neutral solution to this problem. At best, we can come equipped with knowledge that these tools may come with some biases, like when you analyze texts from the past. You make the best with what you have and strive to improve

I’m a big fan of creating thousands of folders with machine generated names to house my 27,000 Java files with, you guess it, more machine generated names.

I was prepared to roll my eyes after their introduction which was pure conjecture, but they they started pushing data. Individually these strange practices aren’t conclusive evidence for malware, but combined it’s hard to see any legitimate use for this kind of design for a company acting in good faith.

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