From Microeconomics to AI Research: A Guide for Economists

2026

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AI-generated summary

1) This guide bridges microeconomics and AI research, demonstrating how economic principles are crucial for building and aligning advanced AI systems.
2) * Explains how core microeconomic concepts like discrete choice, social choice, and principal-agent models underpin AI training and alignment techniques.
* Maps specific economic competencies to AI research problems, including behavioral economics for annotator biases, mechanism design for feedback, and game theory for multi-agent safety.
* Provides practical guidance on roles, technical skills, and resources for economists seeking to contribute to AI research.
3) AI alignment, reinforcement learning from human feedback, behavioral economics, mechanism design, social choice

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