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The Ethics of Generative AI in Social Science: Three Narratives from 17 Early-Career Scholars
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
Yuan Ren
Aug 9, 20255 min read


The Moral Blind Spots of Large Language Models: Can We Trust AI’s Ethical Judgments?— A Systematic Analysis of Cognitive Biases Based on Four Experiments
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
Yuan Ren
Jul 6, 20255 min read
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