Algorithmic Collusion by Large Language Models

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Fish, Sara, Gonczarowski, Yannai A., Shorrer, Ran I.
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866912945882005504
author Fish, Sara
Gonczarowski, Yannai A.
Shorrer, Ran I.
author_facet Fish, Sara
Gonczarowski, Yannai A.
Shorrer, Ran I.
contents We conduct experiments with algorithmic pricing agents based on Large Language Models (LLMs). In oligopoly settings, LLM-based pricing agents quickly and autonomously reach supracompetitive prices and profits. Variation in seemingly innocuous phrases in LLM instructions ("prompts") substantially influence the degree of supracompetitive pricing. We develop novel techniques for behavioral analysis of LLMs and use them to uncover price-war concerns as a contributing factor. Our results extend to auction settings. Our findings uncover unique challenges to any future regulation of LLM-based pricing agents, and AI-based pricing agents more broadly.
format Preprint
id arxiv_https___arxiv_org_abs_2404_00806
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Algorithmic Collusion by Large Language Models
Fish, Sara
Gonczarowski, Yannai A.
Shorrer, Ran I.
General Economics
Economics
Artificial Intelligence
Computer Science and Game Theory
We conduct experiments with algorithmic pricing agents based on Large Language Models (LLMs). In oligopoly settings, LLM-based pricing agents quickly and autonomously reach supracompetitive prices and profits. Variation in seemingly innocuous phrases in LLM instructions ("prompts") substantially influence the degree of supracompetitive pricing. We develop novel techniques for behavioral analysis of LLMs and use them to uncover price-war concerns as a contributing factor. Our results extend to auction settings. Our findings uncover unique challenges to any future regulation of LLM-based pricing agents, and AI-based pricing agents more broadly.
title Algorithmic Collusion by Large Language Models
topic General Economics
Economics
Artificial Intelligence
Computer Science and Game Theory
url https://arxiv.org/abs/2404.00806