Ok, fine but... Understanding bias isn't what engineers are trained to do. It's not just running a few correlations.pic.twitter.com/Me8b2yWk39
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Also, AirBnB's race problem was apparent from day one among social scientists BECAUSE IT WAS TERRIBLY EASY TO PREDICT. Why did they not see?
We see this often: a terribly easy to see complication to business model is ignored for years, then a team of engineers tasked after outcry.
Silicon Valley's great love for economists is itself a similarity bias, both as to methods and esp. sociopolitical outlook.
Expanding the definition of cross-functional teams (already considered good practice) would be a good start.
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