Summary of Social Environment Design, by Edwin Zhang et al.
Social Environment Design
by Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen
First submitted to arxiv on: 21 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: General Economics (econ.GN); Machine Learning (stat.ML)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes Social Environment Design, a framework that leverages Artificial Intelligence (AI) for automated policy-making. The authors connect this framework with Reinforcement Learning, EconCS, and Computational Social Choice communities. They aim to capture general economic environments, include voting on policy objectives, and provide a direction for the systematic analysis of government and economic policy through AI simulation. The paper highlights key open problems in AI-based policy-making and suggests solving these challenges will promote more ethical and responsible decision making. The authors hope their work will achieve various social welfare objectives. The framework seeks to improve government and economic policy-making by using AI as a technology that can be used for this purpose. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper uses Artificial Intelligence (AI) to help make better decisions in government and the economy. They created a new framework called Social Environment Design, which connects with other fields like Reinforcement Learning, EconCS, and Computational Social Choice. The goal is to use AI to simulate different economic environments and make choices about policy objectives. The authors point out some problems that need to be solved before this can happen. If they can solve these challenges, it could lead to more ethical and responsible decision making. They hope their work will help achieve goals like fairness and justice in society. |
Keywords
» Artificial intelligence » Reinforcement learning
