Managing Director
Phone:
+49 711 685 88100
Contact
Universitätsstraße 32
70569 Stuttgart
Deutschland
Room: 00.123
Subject
- AI Safety
- Machine Behavior / Machine Psychology
- Responsible AI
A complete list of my publications as well as books can be found here. The following is a selection:
- Jotautaitė, Monika; Caviola, Lucius; Brewster, David A.; Hagendorff, Thilo (2025): Speciesism in AI: Evaluating Discrimination Against Animals in Large Language Models. In arXiv:2508.11534, pp. 1–29. (Link)
- Hagendorff, Thilo; Derner, Erik; Oliver, Nuria (2025): Large Reasoning Models Are Autonomous Jailbreak Agents. In arXiv:2508.04039, pp. 1–54. (Link)
- Hagendorff, Thilo (2025): On the Inevitability of Left-Leaning Political Bias in Aligned Language Models. In arXiv:2507.15328, pp. 1–11. (Link)
- Hagendorff, Thilo; Fabi, Sarah (2025): Beyond Chains of Thought: Benchmarking Latent-Space Reasoning Abilities in Large Language Models. In arXiv:2504.10615, pp. 1–12. (Link)
- Vaugrante, Laurène; Carlon, Francesca; Menke, Maluna; Hagendorff, Thilo (2025): Compromising Honesty and Harmlessness in Language Models via Deception Attacks. In arXiv:2502.08301, pp. 1–14. (Link)
- Vaugrante, Laurène; Niepert, Mathias; Hagendorff, Thilo (2024): A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions. In arXiv:2409.20303, pp. 1–23. (Link)
- Hagendorff, Thilo (2024): Mapping the Ethics of Generative AI. A Comprehensive Scoping Review. In Minds and Machines 34 (39), 1–27. (Link)
- Hagendorff, Thilo; Dasgupta, Ishita; Binz, Marcel; Chan, Stephanie C. Y.; Lampinen, Andrew; Wang, Jane X. et al. (2024): Machine Psychology. In arXiv:2303.13988, pp. 1–17. (Link)
- Hagendorff, Thilo (2024): Deception abilities emerged in large language models. In Proceedings of the National Academy of Sciences 121 (24), 1-8. (Link)
- Meding, Kristof; Hagendorff, Thilo (2024): Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms. In Philosophy & Technology 37 (1), pp. 1–22. (Link)
- Hagendorff, Thilo; Fabi, Sarah; Kosinski, Michal (2023): Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT. In Nature Computational Science 3 (10), pp. 833–838. (Link)
- Hagendorff, Thilo; Fabi, Sarah (2023): Why we need biased AI: How including cognitive biases can enhance AI systems. In Journal of Experimental & Theoretical Artificial Intelligence, pp. 1–14. (Link)
- Hagendorff, Thilo; Bossert, Leonie N.; Tse, Yip Fai; Singer, Peter (2023): Speciesist bias in AI: how AI applications perpetuate discrimination and unfair outcomes against animals. In AI Ethics 3 (3), pp. 717–734. (Link)
- Hagendorff, Thilo (2022): A Virtue-Based Framework to Support Putting AI Ethics into Practice. In Philosophy & Technology 35 (3), pp. 1–246. (Link)
- Hagendorff, Thilo; Danks, David (2022): Ethical and methodological challenges in building morally informed AI systems. In AI Ethics, pp. 1–14. (Link)
- Hagendorff, Thilo (2022): AI ethics and its pitfalls: not living up to its own standards? In AI and Ethics, pp. 1–8. (Link)
- Hagendorff, Thilo (2022): Blind spots in AI ethics. In AI Ethics 2 (4), pp. 851–867. (Link)
- Hagendorff, Thilo (2021): Linking human and machine behavior. A new approach to evaluate training data quality for beneficial machine learning. In Minds and Machines 31, pp. 563–593. (Link)
- Hagendorff, Thilo; Meding, Kristof (2021): Ethical considerations and statistical analysis of industry involvement in machine learning research. In AI & SOCIETY - Journal of Knowledge, Culture and Communication, pp. 1–11. (Link)
- Hagendorff, Thilo (2021): Forbidden knowledge in machine learning. Reflections on the limits of research and publication. In AI & SOCIETY - Journal of Knowledge, Culture and Communication 36 (3), pp. 767–781. (Link)
- Helm, Paula; Hagendorff, Thilo (2021): Beyond the Prediction Paradigm. Challenges for AI in the Struggle Against Organized Crime. In Law and Contemporary Problems 84 (3), pp. 1–17. (Link)
- Hagendorff, Thilo (2020): The Ethics of AI Ethics. An Evaluation of Guidelines. In: Minds and Machines 30 (3), pp. 457–461. (Link)
- Hagendorff, Thilo (2019): From privacy to anti-discrimination in times of machine learning. In: Ethics and Information Technology 33 (3), pp. 331–343. (Link)
- Hagendorff, Thilo; Wezel, Katharina (2019): 15 challenges for AI: or what AI (currently) can’t do. In AI & SOCIETY - Journal of Knowledge, Culture and Communication 35 (2), pp. 355-365. (Link)
Dr. Thilo Hagendorff is an expert in AI safety and machine behavior. He is working as an Independent Research Group Leader at the University of Stuttgart. Previously, he worked for the Cluster of Excellence “Machine Learning” at the University of Tuebingen. He was a visiting scholar at Stanford University, UC San Diego, and ELLIS Alicante. As a lecturer, he teaches at the Hasso Plattner Institute in Potsdam, among others.
More details can be found here.
Spokespersons
Professor for Teaching and Learning with Intelligent Systems | Spokesperson of the Stuttgart Research Focus IRIS | Co-Director of the AI Software Academy
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+49 711 685 81176
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+49 711 685 84350
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Professor for Teaching and Learning with Intelligent Systems | Spokesperson of the Stuttgart Research Focus IRIS | Co-Director of the AI Software Academy
Phone:
+49 711 685 81176
Chair of the Board
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+49 711 685 81940
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Managing Director
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Professor
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Phone:
+49 711 685 81176
Chair of the Board
Phone:
+49 711 685 81940
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+49 711 685 84371
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Scientific Coordinator of the Teaching and Learning Forum RISING | Doctoral Researcher focusing on trust in intelligent systems
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Associate Members
Professor of Computer Science, Hochschule der Medien Stuttgart | Director of the Humanoid Lab
Phone:
+49 711 89232882
Chair of Bioethics | ETH Zürich
Assistant Professor, Intelligence Community Fellow | Stevens Institute of Technology
Phone:
+1 201-216-5040
Communications, Culture, Diversity - Founder & Managing Partner | 789 Consulting
Phone:
+49 172 8252822
Professor of Philosophy of Science and Technology
Phone:
+49 6151 1657446
Research Group Leader | Max Planck Institute for Intelligent Systems
Phone:
+49 711 6893516
Team Lead | GESIS - Leibniz Institute for the Social Sciences (Cologne) and Heinrich-Heine University of Dusseldorf
Phone:
+49 221 47694262
Associate Professor of Education | University College London, Institute of Education
Faculty member of the Political Science Program of the Division of Social Sciences, University of the Philippines Tacloban College