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The risk of reward-hacking falsifiability in AI-assisted cognitive modeling
An essay argues that privileging easily digestible signals of model falsifiability can create perverse incentives.
TLDR
To make better use of AI for computational cognitive modeling, an essay argues against prioritizing easily digestible signals of model falsifiability above all else. Its author warns that even falsifiability can be “reward-hacked.”
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