Hagendorff, Thilo

The Ethics of AI Ethics: An Evaluation of Guidelines

Hagendorff, T. (2020) · Minds and Machines

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 1,911

The Ethics of AI Ethics -- An Evaluation of Guidelines

Hagendorff, T. (2019) · arXiv

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 1,907

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

Amann, J., Vetter, D., Blomberg, S. N., Christensen, H. C., Coffee, M., Gerke, S., Gilbert, T. K., Hagendorff, T., Holm, S., Livne, M., et al. (2022) · PLOS Digital Health

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 251

Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT

Hagendorff, T., Fabi, S., & Kosinski, M. (2023) · Nature Computational Science

Topic ModelingNatural Language Processing Techniques

Cited by 243

Mapping the ethics of generative AI: a comprehensive scoping review

Hagendorff, T. (2024) · Minds and Machines

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 141

15 challenges for AI: Or what AI (currently) can’t do

Hagendorff, T., & Wezel, K. (2020) · AI & SOCIETY

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 113

Deception abilities emerged in large language models

Hagendorff, T. (2024) · Proceedings of the National Academy of Sciences

Ethics and Social Impacts of AIDeception detection and forensic psychology

Cited by 100

Machine Psychology

Hagendorff, T., Dasgupta, I., Binz, M., Chan, S. C. Y., Lampinen, A., Wang, J. X., Akata, Z., & Schulz, E. (2023) · arXiv

Topic ModelingPsychiatry, Mental Health, Neuroscience

Cited by 68

Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning

Hagendorff, T. (2021) · Minds and Machines

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 47

Ethical and methodological challenges in building morally informed AI systems

Hagendorff, T., & Danks, D. (2023) · AI and Ethics

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 36

Why we need biased AI: How including cognitive biases can enhance AI systems

Hagendorff, T., & Fabi, S. (2024) · Journal of Experimental & Theoretical Artificial Intelligence

Psychiatry, Mental Health, NeuroscienceEthics and Social Impacts of AI

Cited by 20

Human-Like Intuitive Behavior and Reasoning Biases Emerged in Language Models -- and Disappeared in GPT-4

Hagendorff, T., & Fabi, S. (2023) · arXiv

Topic ModelingDecision-Making and Behavioral Economics

Cited by 15

Wirksamkeitssteigerungen gesellschaftskritischer Diskurse

Hagendorff, T. (2016) · Soziale Probleme

Critical Theory and PhilosophyContemporary Sociological Theory and Practice

Cited by 2

Emergently Misaligned Language Models Show Behavioral Self-Awareness That Shifts With Subsequent Realignment

Vaugrante, L., Weckauff, A., & Hagendorff, T. (2026) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 0