Social Environment Design

• URL: http://arxiv.org/abs/2402.14090v3
• Date: Mon, 17 Jun 2024 16:45:47 GMT
• Title: Social Environment Design
• Authors: Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen,
• Abstract summary: Social Environment Design is a general framework for the use of AI for automated policy-making. 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.
• Score: 39.324202132624215
• License: http://creativecommons.org/licenses/by/4.0/
• 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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