My impression is that some folks use machine learning to try to "solve" problems of artificial scarcity. Eg: we won't give everyone the healthcare they need, so let's use ML to decide who to deny.
Question: What have you read about this? What examples have you seen?
Question: What have you read about this? What examples have you seen?
It's not explicitly stated in this article, but seems to be a subtext that giving everyone the healthcare they need wasn't considered an option:
https://twitter.com/math_rachel/status/1285025248136491008?s=20
To be clear, if the starting point is artificial scarcity of resources, this is a problem machine learning CAN'T solve
I've heard some responses: "If resources are truly scarce, isn't ML the best way to allocate them fairly & address corruption?"
Not necessarily. Simple, rule-based approaches can be good for consistency & fairness in many cases
Not necessarily. Simple, rule-based approaches can be good for consistency & fairness in many cases
https://twitter.com/math_rachel/status/1196888077790113793
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