Large language models (LLMs) not only mimic human language generally but are also showing the ability to exhibit nuanced, idiosyncratic human behavior. This could lead to the expanded use of LLMs in research and a diminution of the influence of humans. It also has implications for AI alignment and the role of the technology in society.

Demetis, D.; Robertson, J.; Flostrand, A.; Ferreira, C.; Watson, R. T.; Mccarthy, Ian Paul; Kietzmann, J.; Pitt, L.; Dabirian, A.. (2025). Large Language Models in Human Subject Research, and the Presence of Idiosyncratic Human Behaviors. IT Professional, 27:6, 10-15. Doi: 10.1109/MITP.2025.3633473.

Large Language Models in Human Subject Research, and the Presence of Idiosyncratic Human Behaviors

McCarthy, I. P.;
2025

Abstract

Large language models (LLMs) not only mimic human language generally but are also showing the ability to exhibit nuanced, idiosyncratic human behavior. This could lead to the expanded use of LLMs in research and a diminution of the influence of humans. It also has implications for AI alignment and the role of the technology in society.
2025
Human Subjects, Human Behavior, Large Language Models, Silicon, Research Topics, Personality Traits, Neuroticism, Extraversion, Focus Of This Article, Cognitive Biases, Theory Of Mind, Human Experts, Artificial Intelligence Systems, Studies In Human Subjects, Positive Personality Traits, Human Representation, Institutional Review Board, Research Design, Research Participants, Interview Participants, Survey Participants, Artificial Intelligence Models, Delphi Method, Intelligence Agencies, Behavioral Research, Market Research, Empirical Work
Demetis, D.; Robertson, J.; Flostrand, A.; Ferreira, C.; Watson, R. T.; Mccarthy, Ian Paul; Kietzmann, J.; Pitt, L.; Dabirian, A.. (2025). Large Language Models in Human Subject Research, and the Presence of Idiosyncratic Human Behaviors. IT Professional, 27:6, 10-15. Doi: 10.1109/MITP.2025.3633473.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11385/257139
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