LATIDIA · Investigación

¿Los agentes de IA necesitan atención preventiva? Un Diseño de Cohorte Epidemiológico para la IA Agénica

arXiv: 2611.13333v1Tipo de anuncio: nuevo Resumen: A medida que los agentes de IA realizan cada vez más tareas de forma autónoma en todos los sectores, incluida la investigación sanitaria y biomédica, comprender cómo se desarrollan e influyen sus comportamientos o

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arXiv:2611.13333v1 Announce Type: new Abstract: As AI agents increasingly perform tasks autonomously across sectors, including healthcare and biomedical research, understanding how their behaviors develop and influence outcomes over time becomes increasingly important. Existing evaluations largely focus on model capabilities and performance on predefined tasks. Here, we propose an epidemiologic cohort design for studying agentic AI, drawing on principles established in human population studies. The framework treats individual agents as members of a cohort, their underlying model as genetic makeup, accumulated work as their time scale, and naturally occurring behaviors as exposures that may influence subsequent outcomes. By following agents longitudinally, this approach enables investigation of behavioral determinants of adverse events,