The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

Brief Project Information

The AI Economist uses a Reinforcement Learning framework in simulated economies to learn dynamic tax policies, providing a purely simulation-based and data-driven solution in finding a tax policy that optimizes equality along with productivity. The simulations may help to improve policy impact and social outcomes in real-world economies.

SDGs

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Project Links:

https://blog.einstein.ai/the-ai-economist/

https://www.technologyreview.com/2020/05/05/1001142/ai-reinforcement-learning-simulate-economy-fairer-tax-policy-income-inequality-recession-pandemic/

United States

Published in 2020

Sustainability Review

4.0

Average Sustainability Index

Editor's comment for this project's sustainability:

Using AI and simulation in socio-economic decision-making is a good idea. However, the extent to which the gap between the simulation environment and the real world will affect the results is still worth paying attention to.

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