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This shift is robust across pro","title":"Mecha-nudges for Machines","url":"https://arxiv.org/abs/2603.23433","vendor":"arxiv_cs_ai"},"summary":"arXiv:2603.23433v2 Announce Type: replace \nAbstract: AI agents are becoming active decision-makers on the Internet. As they make decisions in the same environments as humans, the environments themselves can change to influence them. We call this $\\textit{mecha-nudging}$: changes to how choices are presented that systematically influence AI agents without materially degrading the decision environment for humans. To measure this phenomenon, we combine two frameworks -- Bayesian persuasion from economics and $\\mathcal{V}$-usable information from computer science -- to get a common unit (bits) for quantifying how environments change across a wide range of interventions, contexts, and models. 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