Feb. 23, 2024, 5:44 a.m. | Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen

stat.ML updates on arXiv.org arxiv.org

arXiv:2402.14090v1 Announce Type: cross
Abstract: Artificial Intelligence (AI) holds promise as a technology that can be used to improve government and economic policy-making. This paper proposes a new research agenda towards this end by introducing Social Environment Design, a general framework for the use of AI for automated policy-making that connects with the Reinforcement Learning, EconCS, and Computational Social Choice communities. The framework seeks to capture general economic environments, includes voting on policy objectives, and gives a direction for the …

abstract artificial artificial intelligence arxiv automated cs.ai design econ.gn economic economic policy environment framework general government intelligence making paper policy q-fin.ec reinforcement reinforcement learning research social stat.ml technology type

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