Generative AI in Social Science Generative Artificial Intelligence (Generative AI) is profoundly transforming the way social science research is conducted. It can write, code, translate, assist with literature searches, and even generate materials for experiments (Berg, 2023; Dabić et al., 2023; Lin, 2023; Lund & Wang, 2023; Porsdam Mann, Earp, Møller, et al., 2023). Yet, discussions about its ethical implications in academia largely remain at the “principles checklist” level

As large language models (LLMs) become widely embedded in various decision-making scenarios, people increasingly rely on them to offer moral advice or even directly participate in moral decision-making. But a critical question must be answered: Can these AI systems really make moral judgments that align with human values? Cheung et al. (2025) systematically studied how LLMs respond when facing realistic moral dilemmas through four experiments and compared their responses to

As an editor for the academic journals "Personality and Individual Differences" and "Psychology of Leaders and Leadership," Dritjon Gruda...

Tools like ChatGPT, which allow people to unlock the potential of large language models (LLMs), have taken the world by storm. Their...

Robert M. Davison, Hameed Chughtai, Petter Nielsen, Marco Marabelli, Federico Iannacci, Marjolein van Offenbeek, Monideepa...

A study of review reports identifies dozens of adjectives that could indicate text written with the help of chatbots. A study [preprint,...

Speakers: Jerry Davis (University of Michigan), Dirk Lindebaum (Grenoble Ecole de Management), Stella Pachidi (University of Cambridge)...