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How to make better algorithms: start with the people who train the machines

Ethan Zuckerman writes that algorithms can be improved by focusing on the people who train the machines — and society at large.

"What if our response to bias in AI wasn’t just to fix the computers, but the society that trains them?"

Read more in Prospect.

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