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[Discussion] Real world examples of sacrificing model accuracy and performance for ethical reasons?

A few years back I was working with a client that was optimizing their marketing and product offerings by clustering their clients according to several attributes, including ethnicity. I was very uncomfortable with that. Ultimately I did not have to deal with that dilemma, as I left that project for other reasons. But I’m inclined to say that using ethnicity as a predictor in such situations is unethical, and I would have recommended against it, even at the cost of having a model that performed worse than the one that included ethnicity as an attribute.

Do any of you have real world examples of cases where you went with a less accurate/worse performing ML model for ethical reasons, or where regulations prevented you from using certain types of models even if those models might perform better?

submitted by /u/AlexSnakeKing
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.