Our Mission
The Swiss Centre for Responsible AI provides effective support to organisations to develop and use AI-based systems that are certifiably responsible. The Centre brings together interdisciplinary expertise to foster human-centred, evidence-based, and socially grounded practices that enable advancement of business economic goals and societal well-being.
Our Vision
The Centre is the primary partner in Switzerland to enable organisations to develop, adopt and manage AI-systems that advance economic development and societal flourishing.
Team Members
Ricardo Chavarriaga
Ricardo Chavarriaga is an Engineer and Neuroscientist with expertise in neurotechnologies, artificial intelligence, and responsible innovation. He leads the Responsible AI Innovation group at the Centre for Artificial Intelligence (CAI) of the Zurich University of Applied Sciences (ZHAW) and is the head of the Swiss office of the Confederation of Laboratories for AI Research in Europe (CAIRNE). He focuses on designing technical tools and governance processes for steering AI-based solutions for societal flourishing.
Anika Hannemann
Anika Hannemann is the Head of Research at the Swiss Centre for Responsible AI. A computer scientist by training, she brings experience from both academia and industry. In 2025, she earned her doctorate at Leipzig University with research on privacy-preserving machine learning for distributed systems. Her current work focuses on Responsible AI, with a particular emphasis on privacy and security in AI systems. Passionate about connecting research and practice, she is keen on bridging the gap between academia and industry.
Manuel Flurin Hendry
Manuel Flurin Hendry is an award-winning Feature Film Director, Artistic Researcher and Programmer. He teaches moviemaking at the Zurich University of the Arts (ZHdK), where he coordinates the Screen Acting program, and at the International Film School Cologne. At ETH Zurich, he lectures on the cultural impact of AI and conducts scientific-artistic research in cooperation with the Social Brain Sciences Lab. As a Researcher with a PhD in Dramaturgy, he investigates the impact of digital systems on self-perception, visual education and artistic practice in ongoing collaborations with HKAPA Hongkong, the MIT Media Lab and the International Association of Film and Media Schools CILECT.
Sarah Hess
Sarah Hess is Lecturer in Media Education and Computer Science and Mentor in the Professional Training and Development Department for Primary Education at the Zurich University of Teacher Education (PHZH). She is Junior Researcher at the Centre for Education and the Digital Transformation. Her research focuses on artificial intelligence in education.
Anna Lisa Martin‑Niedecken
Prof. Dr. Anna Lisa Martin-Niedecken is Professor of Design Science at Zurich University of the Arts (ZHdK). She leads the cross-institutional Digital Health Design Living Lab, focusing on human-centred, evidence-based (co-)design in health, serious & applied games, exergames, and digital & AI health tools. She is also founder of the fitness gaming company Sphery Ltd.
Tobias Röhl
Tobias Röhl is Professor for Digital Learning and Teaching at the Zurich University of Teacher Education (PHZH) and is interested in the societal implications of digital transformation in education. His work examines how AI and data-driven technologies reshape teaching, learning, and professional practices, with an emphasis on ethical, responsible, and sustainable uses of AI in educational contexts.
Frank‑Peter Schilling
Prof. Dr. Frank-Peter Schilling is deputy director of the ZHAW’s Centre for AI (CAI) and leads its Intelligent Vision Systems (IVS) group. His research interests cover deep-learning based computer vision applications including in the medical domain, Machine Learning Operations (MLOps) and its relation to Trustworthy AI, as well as the assessment and certification of AI systems. He is IEEE CertifAIEd lead assessor, has a background in particle physics including being a co-discoverer of the Higgs particle, and holds a PhD from the University of Heidelberg as well as an adjunct professorship with the University of Wellington.
Thilo Stadelmann
Thilo Stadelmann is Professor of AI and machine learning at the ZHAW School of Engineering in Winterthur, Switzerland, and Director of the ZHAW’s Centre for AI (CAI). A computer scientist by training, he received his doctorate from Marburg University in 2010 with a thesis on multimedia analysis and worked in engineering and leadership roles in the automotive industry. His research interests include robust representation learning and prohuman AI. He is experienced as (co-)founder and part of the senior leadership of several organisations in the digital space.
Stephanie Volz
Dr. iur. Stephanie Volz is the Scientific Managing Director Center for Information Technology, Society and Law (ITSL). Her specialisms lie in technology, media and data protection law, and she has a wealth of experience working on various projects and studies in this field.
Florent Thouvenin
Florent Thouvenin is Professor of Information and Communications Law at the Faculty of Law of the University of Zurich. Among other things, he is Chairman of the Steering Committee of the Center for Information Technology, Society, and Law (ITSL) at the University of Zurich. In his research, he deals with legal issues relating to digitalisation, with a focus on copyright and data protection law. A particular focus is currently on developing suitable legal responses to the challenges caused by AI.
Ivo Ruckstuhl
Ivo Ruckstuhl is the Director of the Swiss Centre for Responsible AI. As a business and technology leader, he has worked for startups, consultancies, and software vendors across various industries. His extensive expertise includes strategy, innovation, transformation, and technology. Already in 2013, he had the opportunity to work with data scientists to create novel AI solutions and consulting services. Today, he focuses on making research and academic rigor available for organizations to create business value from innovation and AI. Ivo holds an HTL degree in electronic engineering from HSR/OST and a Global Executive MBA from INSEAD.
Christoph Heitz
Christoph Heitz is Professor of AI and Society at the Zurich University of Applied Sciences (ZHAW). With a background in data science, his work focuses on responsible AI, especially algorithmic fairness and non-discrimination, in the context of data-driven service innovation. He is co-founder and president of the Data Innovation Alliance, Switzerland’s national network for data-based value creation, and co-founder and president of the European Association for Algorithmic Fairness. Christoph’s research is strongly interdisciplinary, bridging fields such as philosophy, ethics, psychology, marketing, management, and service design to advance trustworthy and socially grounded AI.
Maike Thies
Maike Thies is a research associate in the subject area in Game Design and the Department of Design at Zurich University of the Arts (ZHdK). She co-directs and curates the international festival REFRESH, which explores the intersection of Arts, Design, and Technology. In her teaching and artistic research practice, Maike examines the impact of digital technologies on society and planetary well-being and identifies emerging fields of action for artists and designers.
Hella Bolck
Hella Bolck is a lecturer at the ZHAW Centre for AI (CAI) focusing on the scientific third space to drive strategic initiatives and enable collaboration across disciplines and sectors. A molecular biologist by training, she spent over a decade applying AI to biomedical data before shifting her focus to fostering innovation ecosystems and research infrastructures around AI. At CAI, she leads structural initiatives and heads the continues education portfolio to support AI adoption for people of all backgrounds. As an early driving force behind SCRAI, she builds bridges for organizations to develop and operate responsible AI systems.
Anna Fedorova
Dr. Anna Fedorova is a PhD candidate at Ca’ Foscari University of Venice and a Research Assistant at the ZHAW Centre for AI (CAI). Her work focuses on advancing trustworthy and human-centred AI, promoting approaches that embed transparency, accountability, and ethical alignment into AI development and governance processes. She develops value-driven approaches to risk identification and assessment and investigates multi-objective reinforcement learning, integrating trustworthiness metrics into algorithmic evaluation. She holds a previous PhD in Materials Science and brings over half a decade of experience in IT consulting, combining technical depth with practical insight into organisational implementation.
Oliver Forster
Oliver Forster is a senior researcher in the Responsible AI Innovation Group at the Centre for Artificial Intelligence (CAI) of the Zurich University of Applied Sciences (ZHAW). After having completed his studies in information technology at the ETH, Oliver worked for the Balgrist University Hospital in medical research. Soon after, he joined the ZHAW and has since been working in several projects in Responsible AI.
Carmelo Corrado Di Stefano
Carmelo Corrado Di Stefano has a master's degree in philosophy, Italian literature, and sociology. He also holds a Certificate of Advanced Studies in Digital Ethics. He worked for a renowned statistics software company and was later responsible for communications, marketing, and IT at a Swiss foundation specialising in ethical issues in healthcare.