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Upcoming Talks and Events
- 26 Jun 2025: Apéro Digital V: Friends of Foes? Digitalization & Sustainability towards COP30, Zurich, Switzerland. Organizer.
- 16 Oct 2025: Seminar: AI for Good and for Everyone, Pontifical Academy of Science, Vatican City State. Invited Speaker.
- 12-14 Nov 2025:European Reference Network for Rare and Complex Epilepsies (EpiCare) Workshop, Rome, Italy. Invited Keynote.
- 27 May 2025: AI Governance Lecture Series - Technical University Munich. Munich, Germany. Invited Speaker.
- 12-16 May 2025: UNESCO Intergovernmental Meeting on the draft Recommendation on the Ethics of Neurotechnology. Paris, France
- 16 April 2025: Apéro Digital IV - Algorithm Resistance: Writing the Rules for Social Media and AI in Public Debates. Zurich, Switzerland. Co-organizer.
- 8 April 2025: ZHAW Sustainability Day 2025. ZHAW, Winterthur, Switzerland. Keynote speaker.
- 27 March 2025: Templeton lecture: Our AI Future. ZHAW, Winterthur, Switzerland. Co-organizer.
- 27 March 2025: Swiss NLP Expert Group: Responsible and Secure NLP. ZHAW, Winterthur, Switzerland. Invited speaker.
- 6-7 March 2025: Workshop: Human-Centred Machine Learning: Bridging Design, Development, and Social Impact. IDSIA, Lugano, Switzerland. Invited speaker.
- 14 Feb 2025: Webinar: Towards Transparent, Safe, and Trustworthy AI: Enhancing Human-AI Collaboration in Critical Infrastructures. Online, Speaker
Latest Publications
- Leyli-abadi, M. et al. A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures, arXiv 2504.16133, Preprint https://arxiv.org/abs/2504.16133
- Carlson D. et al. The NERVE-ML (Neural Engineering Reproducibility and Validity Essentials for Machine Learning) Checklist: Ensuring Machine Learning Advances Neural Engineering. J Neural Engineering, 22 021002, 2025
- Starke G, et al. Finding consensus on trust in AI in healthcare: recommendations from a panel of international experts. J Med Internet Res 2025. J Med Internet Res 2025;27:e56306.
- Frischknecht-Gruber et al., AI Assessment in Practice: Implementing a Certification Scheme for AI Trustworthiness (Academic Track). In Symposium on Scaling AI Assessments (SAIA 2024). Open Access Series in Informatics (OASIcs), Volume 126, pp. 15:1-15:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025).
- Billeter et al. MLOps as Enabler of Trustworthy AI. IEEE Swiss Data Science Conference - SDS2024. Zurich, Switzerland.
- Denzel et al. Towards the Certification of AI-based Systems. IEEE Swiss Data Science Conference - SDS2024. Zurich, Switzerland.