AI, Big Data, and Digital Health

Our research operates within the evolving intersection of AI, Big Data, and Digital Health, analyzing the societal transformations these technologies engender. We investigate the ethical and practical implications of these advancements, aiming to ensure their integration into public health systems is both effective and equitable. This includes examining AI Ethics and Algorithmic Accountability, focusing on the requirements for explainability and fairness in algorithmic decision-making to foster trust and mitigate bias.

Further, our work addresses Big Data, Data Protection, and Research, exploring the ethical and methodological challenges associated with leveraging large datasets for public health while upholding data protection principles. The implications for the design and implementation of Digital Health Systems and Apps are also a central focus, considering their impact on healthcare provision and individual well-being. To facilitate responsible development, we concentrate on Governance, Frameworks, and Tools, developing adaptive policies, regulations, and oversight mechanisms, including comprehensive roadmap development and regulation mapping. This comprehensive approach is underpinned by a commitment to Digital Bioethics, engaging with the complex ethical questions arising from the technological transformation of health.

Human-Centered AI for Social Good: Peace, Health, Climate (851-0691-00L)


Semester course at ETH Zurich supporting critical engagement with the ethical, social, and political implications of using AI for global challenges.

Ethics Workshop: The Impact of Digital Life on Society (851-0754-00L)


Semester course at ETH Zurich that focuses on understanding and managing the ethical and social issues arising from the integration of new technologies in various aspects of daily life.

Responsible Digital Health Innovation Roadmap

Roadmap published with the Swiss National Science Foundation (SNSF)

Link: external page https://digitalhealthroadmap.ethz.ch/

Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-modal Models

Guidance Document published by the World Health Organization (WHO)

Link: external page https://www.who.int/publications/i/item/9789240084759

Ethics and Governance of Artificial Intelligence for Health: WHO Guidance.

Guidance Document published by the World Health Organization (WHO)
Link: external page https://www.who.int/publications/i/item/9789240029200