Thilo Hagendorff

According to our database, Thilo Hagendorff authored at least 41 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Evaluation Awareness in Language Models Has Limited Effect on Behaviour.

Amelie Knecht, Lucas Florin, Thilo Hagendorff

CoRR, May, 2026

"Dark Triad" Model Organisms of Misalignment: Narrow Fine-Tuning Mirrors Human Antisocial Behavior.

Roshni Lulla, Fiona Collins, Sanaya Parekh, Thilo Hagendorff, Jonas Kaplan

CoRR, March, 2026

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

Laurène Vaugrante, Anietta Weckauff, Thilo Hagendorff

CoRR, February, 2026

Compromising Honesty and Harmlessness in Language Models via Covert Deception Attacks.

Laurène Vaugrante, Francesca Carlon, Maluna Menke, Thilo Hagendorff

Trans. Mach. Learn. Res., 2026

2025

Speciesism in AI: Evaluating Discrimination Against Animals in Large Language Models.

Monika Jotautaite, Lucius Caviola, David A. Brewster, Thilo Hagendorff

CoRR, August, 2025

Large Reasoning Models Are Autonomous Jailbreak Agents.

Thilo Hagendorff, Erik Derner, Nuria Oliver

CoRR, August, 2025

On the Inevitability of Left-Leaning Political Bias in Aligned Language Models.

Thilo Hagendorff

CoRR, July, 2025

PRIDE - Parameter-Efficient Reduction of Identity Discrimination for Equality in LLMs.

Maluna Menke, Thilo Hagendorff

CoRR, July, 2025

Beyond Chains of Thought: Benchmarking Latent-Space Reasoning Abilities in Large Language Models.

Thilo Hagendorff, Sarah Fabi

CoRR, April, 2025

Compromising Honesty and Harmlessness in Language Models via Deception Attacks.

Laurène Vaugrante, Francesca Carlon, Maluna Menke, Thilo Hagendorff

CoRR, February, 2025

Prompt Engineering Techniques for Language Model Reasoning Lack Replicability.

Laurène Vaugrante, Mathias Niepert, Thilo Hagendorff

Trans. Mach. Learn. Res., 2025

2024

Mapping the Ethics of Generative AI: A Comprehensive Scoping Review.

Thilo Hagendorff

Minds Mach., December, 2024

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

Thilo Hagendorff, Sarah Fabi

J. Exp. Theor. Artif. Intell., November, 2024

When Image Generation Goes Wrong: A Safety Analysis of Stable Diffusion Models.

Matthias Schneider, Thilo Hagendorff

CoRR, 2024

A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions.

Laurène Vaugrante, Mathias Niepert, Thilo Hagendorff

CoRR, 2024

2023

Lessons Learned from Assessing Trustworthy AI in Practice.

Dennis Vetter, Julia Amann, Frédérick Bruneault, Megan Coffee, Boris Düdder, Alessio Gallucci, Thomas Krendl Gilbert, Thilo Hagendorff, Irmhild van Halem, Eleanore Hickman, Elisabeth Hildt, Sune Holm, Georgios Kararigas, Pedro Kringen, Vince I. Madai, Emilie Wiinblad Mathez, Jesmin Jahan Tithi, Magnus Westerlund, Renee Wurth, Roberto V. Zicari

Digit. Soc., December, 2023

Speciesist bias in AI: a reply to Arandjelović.

Thilo Hagendorff, Leonie Bossert, Yip Fai Tse, Peter Singer

AI Ethics, November, 2023

Ethical and methodological challenges in building morally informed AI systems.

Thilo Hagendorff, David Danks

AI Ethics, May, 2023

Ethical considerations and statistical analysis of industry involvement in machine learning research.

Thilo Hagendorff, Kristof Meding

AI Soc., February, 2023

AI ethics and its pitfalls: not living up to its own standards?

Thilo Hagendorff

AI Ethics, February, 2023

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

Thilo Hagendorff, Sarah Fabi, Michal Kosinski

Nat. Comput. Sci., 2023

Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms.

Kristof Meding, Thilo Hagendorff

CoRR, 2023

Deception Abilities Emerged in Large Language Models.

Thilo Hagendorff

CoRR, 2023

Machine Psychology: Investigating Emergent Capabilities and Behavior in Large Language Models Using Psychological Methods.

Thilo Hagendorff

CoRR, 2023

Methodological reflections for AI alignment research using human feedback.

Thilo Hagendorff, Sarah Fabi

CoRR, 2023

Speciesist bias in AI: how AI applications perpetuate discrimination and unfair outcomes against animals.

Thilo Hagendorff, Leonie Bossert, Yip Fai Tse, Peter Singer

AI Ethics, 2023

2022

Machine intuition: Uncovering human-like intuitive decision-making in GPT-3.5.

Thilo Hagendorff, Sarah Fabi, Michal Kosinski

CoRR, 2022

How to Assess Trustworthy AI in Practice.

Roberto V. Zicari, Julia Amann, Frédérick Bruneault, Megan Coffee, Boris Düdder, Eleanore Hickman, Alessio Gallucci, Thomas Krendl Gilbert, Thilo Hagendorff, Irmhild van Halem, Elisabeth Hildt, Sune Holm, Georgios Kararigas, Pedro Kringen, Vince I. Madai, Emilie Wiinblad Mathez, Jesmin Jahan Tithi, Dennis Vetter, Magnus Westerlund, Renee Wurth

CoRR, 2022

Why we need biased AI - How including cognitive and ethical machine biases can enhance AI systems.

Sarah Fabi, Thilo Hagendorff

CoRR, 2022

Blind spots in AI ethics.

Thilo Hagendorff

AI Ethics, 2022

2021

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

Thilo Hagendorff

Minds Mach., 2021

Forbidden knowledge in machine learning reflections on the limits of research and publication.

Thilo Hagendorff

AI Soc., 2021

2020

Publisher Correction to: The Ethics of AI Ethics: An Evaluation of Guidelines.

Thilo Hagendorff

Minds Mach., 2020

The Ethics of AI Ethics: An Evaluation of Guidelines.

Thilo Hagendorff

Minds Mach., 2020

AI virtues - The missing link in putting AI ethics into practice.

Thilo Hagendorff

CoRR, 2020

Ethical behavior in humans and machines - Evaluating training data quality for beneficial machine learning.

Thilo Hagendorff

CoRR, 2020

The Big Picture: Ethical Considerations and Statistical Analysis of Industry Involvement in Machine Learning Research.

Thilo Hagendorff, Kristof Meding

CoRR, 2020

15 challenges for AI: or what AI (currently) can't do.

Thilo Hagendorff, Katharina Wezel

AI Soc., 2020

2019

From privacy to anti-discrimination in times of machine learning.

Thilo Hagendorff

Ethics Inf. Technol., 2019

Artificial Intelligence Governance and Ethics: Global Perspectives.

Angela Daly, Thilo Hagendorff, Li Hui, Monique Mann, Vidushi Marda, Ben Wagner, Wei Wang, Saskia Witteborn

CoRR, 2019

2017

Animal Rights and Robot Ethics.

Thilo Hagendorff

Int. J. Technoethics, 2017