Altruistic behavior in generative artificial intelligence: a comparative study using Dictator Game experiments

 

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Bibliographic Details
Authors: Torres-Carballo, Federico, Sandoval-Sánchez, Yarima, Martínez-Rojas, Valeria
Format: artículo original
Status:Versión publicada
Publication Date:2026
Description:This paper examines the growing integration of artificial intelligence (AI) in various social domains, with a focus on altruistic behavior exhibited by large language models (LLMs) such as GPT-3.5-turbo. As these models evolve and gain sophistication, there is a need to investigate whether they can replicate the complexity of human behavior in moral decision-making, particularly in situations involving altruism. The study uses the Dictator Game, a classical experiment in behavioral economics, to analyze how LLMs respond in scenarios where an agent decides how to divide a sum of money between themselves and an anonymous recipient without expecting any reward. The key research question is whether different versions of GPT-3.5-turbo exhibit variation in altruistic decision-making. The comparison of GPT-3.5-turbo’s decisions with human behavior offers valuable insights into AI-human interaction in moral contexts.
Country:Portal de Revistas TEC
Institution:Instituto Tecnológico de Costa Rica
Repositorio:Portal de Revistas TEC
Language:Español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/8524
Online Access:https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/8524
Keyword:Artificial Intelligence (AI)
GPT-3.5-turbo
altruistic behavior
moral decision-making
behavioral economics
AI-human interaction
altruism in AI
Inteligencia artificial (IA)
comportamiento altruista
toma de decisiones morales
economía conductual
interacción entre IA y los seres humanos
altruismo en la IA