Social Environment Design

Edwin Zhang; Sadie Zhao; Tonghan Wang; Safwan Hossain; Henry Gasztowtt; Stephan Zheng; David C. Parkes; Milind Tambe; Yiling Chen

arXiv · 2402.14090

Social Environment Design

Edwin Zhang·Sadie Zhao·Tonghan Wang·Safwan Hossain·Henry Gasztowtt·Stephan Zheng·David C. Parkes·Milind Tambe·Yiling Chen

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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 systematic analysis of government and economic policy through AI simulation. We highlight key open problems for future research in AI-based policy-making. By solving these challenges, we hope to achieve various social welfare objectives, thereby promoting more ethical and responsible decision making.

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cs.AI econ.GN q-fin.EC stat.ML

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BibTeX RIS

Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen. 2024-02-21. Social Environment Design. https://arxiv.org/abs/2402.14090

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