Dr. Kevin Baum

Will AI ruin everything? Probably. I'm a Philosopher and Computer Scientist asking: But how exactly? And what can we do about it?

I’m Kevin Baum — ethicist (Dr. phil.) and computer scientist (M.Sc.) working at the intersection of philosophy, AI, and policy.

Current positions:

I also serve on the executive board of the Center for European Research in Trusted AI (CERTAIN) and am a member of the International Association for Safe and Ethical AI (IASEAI), founded by Stuart Russell.


What I work on:

My research bridges normative theory and technical practice. I focus on making AI systems that are not just capable, but trustworthy, fair, and aligned with human values — and on understanding what those terms should actually mean.

Core themes include:

  • Effective human oversight of AI systems (not just humans “in the loop,” but humans genuinely in control, meant to be an additional layer of safety)
  • Machine ethics and building AI agents that are sensitive to normative reasons
  • Algorithmic fairness and the operationalization of “Trustworthy AI”
  • Explainability as a bridge between technical systems and human understanding

I approach these questions with tools from philosophy (metaethics, practical reasoning, collective action theory) and computer science (reinforcement learning, mechanistic interpretability, formal methods).

More about my research


Beyond the lab:

I co-founded Algoright e.V., a think tank for responsible digitalization, and have advised policy makers and public administration on AI ethics and governance issues. In 2024, I was part of the German delegation to the UK-German Science, Innovation and Technology Dialogue.

Our course Ethics for Nerds won the “Hochschulperle des Jahres” (2019) from the German Stifterverband.

Teaching & Engagement


Get in touch:

For my full academic CV, see here. For speaking inquiries, consulting, or collaboration: academia@kevinbaum.de

selected publications

  1. IEEE R&A
    A Roadmap for Responsible Robotics: Promoting Human Agency and Collaborative Efforts
    Dejanira Araiza-Illan, Kevin Baum, Helen Beebee, and 28 more authors
    IEEE Robotics & Automation Magazine, 2025
  2. CHB
    How Do We Assess the Trustworthiness of AI? Introducing the Trustworthiness Assessment Model (TrAM)
    Nadine Schlicker, Kevin Baum, Alarith Uhde, and 3 more authors
    Computers in Human Behavior, 2025
  3. M&M
    Effective Human Oversight of AI-Based Systems: A Signal Detection Perspective on the Detection of Inaccurate and Unfair Outputs
    Markus Langer, Kevin Baum, and Nadine Schlicker
    Minds and Machines, 2024
  4. FMSD
    Software Doping Analysis for Human Oversight
    Sebastian Biewer, Kevin Baum, Sarah Sterz, and 5 more authors
    Formal Methods in System Design, 2024
  5. P&T
    From Responsibility to Reason-Giving Explainable Artificial Intelligence
    Kevin Baum, Susanne Mantel, Eva Schmidt, and 1 more author
    Philosophy & Technology, 2022
  6. AI
    What Do We Want from Explainable Artificial Intelligence (XAI)? – A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research
    Markus Langer, Daniel Oster, Timo Speith, and 5 more authors
    Artificial Intelligence, 2021
  7. Breaking Up with Normatively Monolithic Agency with GRACE: A Reason-Based Neuro-Symbolic Architecture for Safe and Ethical AI Alignment
    Felix Jahn, Yannic Muskalla, Lisa Dargasz, and 2 more authors
    In , 2026
    Accepted for the proceedings of the 2nd Conference of the International Association for Safe and Ethical Artificial Intelligence (IASEAI 2026), Paris, France, Feb 24–26, 2026
  8. AIES
    Aggregation Problems in Machine Ethics and AI Alignment
    Kevin Baum, and Marija Slavkovik
    In Proceedings of the 8th AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025), Madrid, Spain, Oct 20–22, 2025, 2025
  9. FAccT
    On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives
    Sarah Sterz, Kevin Baum, Sebastian Biewer, and 4 more authors
    In , Jun 2024
    Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT 2024)