Animal Rights and Robot Ethics. - Thilo Hagendorff (Int. J. Technoethics, 2017)

Artificial Intelligence Governance and Ethics: Global Perspectives. - Angela Daly; Thilo Hagendorff; Li Hui; Monique Mann; Vidushi Marda; Ben Wagner; Wei Wang 287; Saskia Witteborn (CoRR, 2019)

From privacy to anti-discrimination in times of machine learning. - Thilo Hagendorff (Ethics Inf. Technol., 2019)

15 challenges for AI: or what AI (currently) can't do. - Thilo Hagendorff; Katharina Wezel (AI Soc., 2020)

The Big Picture: Ethical Considerations and Statistical Analysis of Industry Involvement in Machine Learning Research. - Thilo Hagendorff; Kristof Meding (CoRR, 2020)

Ethical behavior in humans and machines - Evaluating training data quality for beneficial machine learning. - Thilo Hagendorff (CoRR, 2020)

AI virtues - The missing link in putting AI ethics into practice. - Thilo Hagendorff (CoRR, 2020)

The Ethics of AI Ethics: An Evaluation of Guidelines. - Thilo Hagendorff (Minds Mach., 2020)

Publisher Correction to: The Ethics of AI Ethics: An Evaluation of Guidelines. - Thilo Hagendorff (Minds Mach., 2020)

Forbidden knowledge in machine learning reflections on the limits of research and publication. - Thilo Hagendorff (AI Soc., 2021)

Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning. - Thilo Hagendorff (Minds Mach., 2021)

Blind spots in AI ethics. - Thilo Hagendorff (AI Ethics, 2022)

Why we need biased AI - How including cognitive and ethical machine biases can enhance AI systems. - Sarah Fabi; Thilo Hagendorff (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; et al. (CoRR, 2022)

Machine intuition: Uncovering human-like intuitive decision-making in GPT-3.5. - Thilo Hagendorff; Sarah Fabi; Michal Kosinski (CoRR, 2022)

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)

Methodological reflections for AI alignment research using human feedback. - Thilo Hagendorff; Sarah Fabi (CoRR, 2023)

Machine Psychology: Investigating Emergent Capabilities and Behavior in Large Language Models Using Psychological Methods. - Thilo Hagendorff (CoRR, 2023)

Deception Abilities Emerged in Large Language Models. - Thilo Hagendorff (CoRR, 2023)

Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms. - Kristof Meding; Thilo Hagendorff (CoRR, 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)

AI ethics and its pitfalls: not living up to its own standards? - Thilo Hagendorff (AI Ethics, 2023)

Ethical considerations and statistical analysis of industry involvement in machine learning research. - Thilo Hagendorff; Kristof Meding (AI Soc., 2023)

Ethical and methodological challenges in building morally informed AI systems. - Thilo Hagendorff; David Danks (AI Ethics, 2023)

Speciesist bias in AI: a reply to Arandjelović. - Thilo Hagendorff; Leonie Bossert; Yip Fai Tse; Peter Singer (AI Ethics, 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; et al. (Digit. Soc., 2023)

A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions. - Laurène Vaugrante; Mathias Niepert; Thilo Hagendorff (CoRR, 2024)

When Image Generation Goes Wrong: A Safety Analysis of Stable Diffusion Models. - Matthias Schneider; Thilo Hagendorff (CoRR, 2024)

Why we need biased AI: How including cognitive biases can enhance AI systems. - Thilo Hagendorff; Sarah Fabi (J. Exp. Theor. Artif. Intell., 2024)

Mapping the Ethics of Generative AI: A Comprehensive Scoping Review. - Thilo Hagendorff (Minds Mach., 2024)

Compromising Honesty and Harmlessness in Language Models via Deception Attacks. - Laurène Vaugrante; Francesca Carlon; Maluna Menke; Thilo Hagendorff (CoRR, 2025)

Beyond Chains of Thought: Benchmarking Latent-Space Reasoning Abilities in Large Language Models. - Thilo Hagendorff; Sarah Fabi (CoRR, 2025)

PRIDE - Parameter-Efficient Reduction of Identity Discrimination for Equality in LLMs. - Maluna Menke; Thilo Hagendorff (CoRR, 2025)

On the Inevitability of Left-Leaning Political Bias in Aligned Language Models. - Thilo Hagendorff (CoRR, 2025)