LLM Economic Preferences
Abstract
This project investigates the economic preference structures of Large Language Models through systematic experimental economics methodologies, examining how AI systems make economic decisions and whether their behavior mirrors or diverges from human economic behavior.
Description
Large Language Models are increasingly being used in economic contexts, yet little is known about their underlying preference structures and decision-making patterns. This research project aims to systematically evaluate LLM economic preferences using established experimental economics frameworks.
Research Question
Large Language Models exhibit consistent economic preference structures that can be systematically evaluated through experimental economics methodologies.
Approach
We investigate whether LLMs demonstrate consistent preference structures, risk attitudes, and decision-making patterns that mirror or diverge from human economic behavior across various economic choice scenarios.
Additional Details
This project employs a series of controlled experiments to evaluate LLM economic preferences. We use standard economic choice scenarios including risk preference assessments, time preference evaluations, and social preference measurements. Our methodology allows us to compare LLM responses directly with established human economic behavior patterns.