Social Environment Design
<|reference_start|>Social Environment Design: 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.<|reference_end|>
@article{zhang2024social,
    title={Social Environment Design},
    author={Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry
  Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen},
    journal={arXiv preprint arXiv:2402.14090},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.14090},
    primaryClass={cs.AI econ.GN q-fin.EC stat.ML}
}