Understanding AI's inner workings and potential biases in scientific inference
A post argues that as AI becomes more capable of aiding scientific inference, understanding how it works becomes a challenge.
TLDR
A post argues that as AI systems become more capable of helping with scientific inference, understanding their inner workings becomes a challenge. It also raises the possibility that they could introduce biases into studies in ways unlike human biases.
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