Lily Frank is a Philosopher and an Assistant Professor of Philosophy and Ethics at the Technical University of Eindhoven, in the Netherlands. Her areas of specialization are biomedical ethics, biotechnology, moral psychology and ethics. Her current research focuses on issues at the intersection of applied ethics, specifically bioethics and metaethics and moral psychology, such as moral expertise, moralization of health conditions, and technology and moral progress. She is also working on issues in reproductive ethics including abortion and the artificial uterus.

Nicola Liberati is a philosopher aiming to go beyond the “empirical turn” to analyse the effects of new digital technologies in our society by working with engineers, designers, and artists. He is currently working as Associate Professor at the Department of Philosophy at the Shanghai Jiao Tong University (SJTU). He has won the “Overseas High Level Talent Program [海外高层次人才计划] 2021” and other several international awards and funding like the JSPS Postdoctoral researcher (Japan), ERASMUS + (EU), the MASH’D Award at ISMAR2015, and the Best Paper by a Returning Member at SPM2014. He has more than 50 international publications, and serves as Co-chair for the Society for Phenomenology and Media (CA, USA) and as ethical advisor for European research projects (HORIZON2020). Before joining SJTU, he worked in Italy, Japan, the Netherlands, and Mexico. Newspapers like Reuters (UK), de Volkskrant (NL), CNET (USA), Happinez (NL), and Il Fatto Quotidiano (IT) interviewed him, and commissions like UNESCO COMEST use his work highlighting the impact he has on societal issues.

Dr. M. Birna van Riemsdijk is associate professor Intimate Computing in the Human-Media Interaction group at University of Twente, The Netherlands. Her research mission is to develop design methods and computational representation and reasoning techniques for creating intimate technologies that take into account our human vulnerability in supporting us in our daily lives: intimate computing is computing with vulnerability. For her research she was awarded a Vidi personal grant and the Dutch Prize for Research in ICT 2014. She serves on the editorial board of the Journal of Autonomous Agents and Multiagent Systems (JAAMAS) and was elected member (2012-2018) of the board of the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). She is member of the board of 4TU.NIRICT, which comprises all ICT research of the four universities of technology of the Netherlands.

Sven Nyholm is Assistant Professor of Philosophy at Utrecht University, a member of the Ethics Advisory Board of the Human Brain Project, and an Associate Editor of the journal Science and Engineering Ethics. Much of his recent work has been about the impact of emerging technologies on our opportunities to live meaningful lives, have meaningful relationships, and do meaningful work. He is particularly interested in how life in the contemporary world – with technologies like robots and artificial intelligence – affect traditional ideas about ethics and our human self-understanding. Nyholm’s publications include Revisiting Kant’s Universal Law and Humanity Formulas (De Gruyter, 2015) and Humans and Robots: Ethics, Agency, and Anthropomorphism(Rowman & Littlefield International, 2020). He is currently writing his third book, This is Technology Ethics: An Introduction (Wiley-Blackwell, 2022).

Luciano C. Siebert is an assistant professor in Responsible AI at TU Delft. Luciano holds an MSc and PhD degree in electrical engineering and was an inaugural postdoc for TU Delft’s AiTech initiative. With a solid background in designing and developing robots and AI systems that interact with humans, his interdisciplinary research incorporates ethical and human behavior theories on the development of methods to keep AI systems under meaningful human control. For this, Luciano considers that AI agents are part of sociotechnical systems and need to align with human values, social norms, and ethical principles. His research uses interactive approaches to empower people (e.g., designers, developers, user) to keep meaningful control and, thus, take responsibility over AI systems.