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.

人工智能能够改善政府和经济政策制定，这篇论文提出了一种新的研究议程，介绍了社会环境设计，这是一个将人工智能与强化学习、计算社会选择等领域相连接的自动化政策制定的通用框架。该框架旨在捕捉一般经济环境，包括对政策目标的投票，并为通过人工智能模拟对政府和经济政策进行系统分析给出方向。我们强调了人工智能政策制定领域未来研究的关键问题，通过解决这些挑战，希望实现各种社会福利目标，促进更具道德和负责任的决策制定。