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Upcoming Talks and Events
- 27 March 2025: Templeton lecture: Our AI Future. ZHAW, Winterthur, Switzerland. Co-Organizer.
- 27 March 2025: NLP Expert Group: Responsible and Secure NLP. ZHAW, Winterthur, Switzerland. Invited speaker.
- 8 April 2025: ZHAW Sustainability Day 2025. ZHAW, Winterthur, Switzerland. Keynote 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
- 19 Nov 2024: CAIRNE AI Sandbox Summit. Brussels, Belgium. Speaker
- 13-14 Nov 2024: Brain Innovation Days. Panel: Towards responsible development and innovation of Neurotechnologies. Brussels, Belgium. Invited panelist
- 4 Nov 2024: Workshop: Bridging the “Wisdom Gap” - Towards Smooth Integration of High-impact Technology in Society. Monte Verità, Switzerland. Keynote speaker
- 31 Oct 2024: Apéro Digital III – Lies, Damned Lies, and Generative AI : Benefits and Threats of Generative AI for Business. Zurich, Switzerland. Organizer
- 30 Oct 2024: Neurotechnology's rapid evolution - What consequences for the EU regulatory landscape? Brussels, Belgium. Panelist
- 24 Oct 2024: Panel: AI, Global & Ecosystems Health: Insights from Colombian Researchers University of St Gallen Latin America Week 2024. Saint Gallen, Switzerland. Invited panelist
- 13 Oct 2024: European Congress of Neurosurgery (EANS). Sofia, Bulgaria. Invited speaker
- 10 Oct 2024: Gesda Summit. Anticipation Observatory workshop . Geneva, Switzerland. Facilitator
- 22-23 Sept 2024: BRIDGE Global Workshop. Austin, USA. Organizer
- 27 Aug 2024: NeuroLeman summer School 2024: Monitoring And Manipulating The Affective State: New Perspectives On Neurotechnologies And AI Tools, Lausanne, Switzerland. Invited lecturer
Latest Publications
- 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. In Press
- 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.
- McKinney et al. Integrating Innovation: the Role of Standards in Promoting Responsible Development of Human-Machine Systems in Handbook of Human-Machine Systems (Eds Fortino, G., Kaber, D., Nürnberger, A. & Mendonca, D.) (Wiley, 2023).
- Chavarriaga R. et al. Neurotechnologies: the new frontier for international governance. Geneva Centre for Security Policy. Strategic Security Analysis:29
- Dell'Agnola F. et al. Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions with Drones. IEEE Journal of Biomedical and Health Informatics. 29:6, 2022. doi:10.1109/JBHI.2022.3186625
- Huggins J. E., et al. (2022) Workshops of the eighth international brain–computer interface meeting: BCIs: the next frontier, Brain-Computer Interfaces, 9:2, 69-101, 2022. doi: 10.1080/2326263X.2021.2009654
- Ienca et al. Towards a Governance Framework for Brain Data. Neuroethics 15(20), 2022