Economics

Improving equality, social welfare, and economic trade-offs using AI and data-driven simulations

The AI Economist: An open source framework for economic policy design.

The AI Economist is an AI framework from the Salesforce Research team, developed to study how to improve economic design using AI with the goal of optimizing productivity and social equality for everyone. It is designed to simulate millions of years of economies – in parallel – to help economists, governments and others design tax policies that optimize social outcomes in the real world.

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An AI can simulate an economy millions of times to create fairer tax policy. Deep reinforcement learning has trained AIs to beat humans at complex games like Go and StarCraft. Could it also do a better job at running the economy?”

MIT Tech Review

Economic Policy

Meet the team

Stephan Zheng
Lead Research Scientist, Senior Manager, AI Economist Team

Stephan leads the AI Economist team, which uses deep reinforcement learning and economic simulations to design economic policy. His work has been widely covered in the media, including the Financial Times, Axios, Forbes, Zeit, Volkskrant, MIT Tech Review, and others. He holds a Ph.D. in Physics from Caltech (2018).

Latest Publications and News

publication
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
read on arxiv
publication
Building a Foundation for Data-Driven, Interpretable and Robust Policy Design using the AI Economist
read on arxiv
in the media
Salesforce’s AI Economist taps reinforcement learning to generate optimal tax policies
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in the media
Salesforce researchers say AI can help find optimal tax rates
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in the media
Salesforce researchers are working on an AI economist for more equitable tax policy
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