Social Environment Design

Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt +4 more
2/21/2024
cs.AIecon.GNstat.ML

No official code found. Best implementation: ezhang7423/social-environment-design (4 stars, MIT, last commit 2024-03-27).

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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ezhang7423/social-environment-designCommunity100%
MIT
42Python, MakefileMar 13, 20242 years agoMIT

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Cite this paper

@article{zhang2024social,
  title  = {Social Environment Design},
  author = {Edwin Zhang and Sadie Zhao and Tonghan Wang and Safwan Hossain and Henry Gasztowtt and Stephan Zheng and David C. Parkes and Milind Tambe and Yiling Chen},
  year   = {2024},
  eprint = {2402.14090},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2402.14090v3}
}

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