Research Unit for Robophilosophy and Integrative Social Robotics
Robophilosophy is a new area of philosophical research defined as "philosophy of, for, and by social robotics" -- it involves not only ethics, but also theoretical disciplines in philosophy. Research Unit for Robophilosophy and Integrative Social Robotics (RISR) is an interdisciplinary unit which undertakes empirical research on human-robot interaction, but also contributes to conceptual and methodological research in social robotics and HRI. RISR uses the approach of "Integrative Social Robotics" (ISR), which assigns to Humanities expertise an integral role in the RD&D process. ISR is a value-driven method that is designed to generate culturally sustainable applications of social robotics.
The leader of the RISR is Prof. Johanna Seibt from the School of Culture and Society, Aarhus University, Denmark.
(Rebuilding) Trust in (black-box) algorithmic decision making: the Case of Medicine [rTAIM]
The main goal of this research project is to evaluate how AI Medicine impacts several normative principles that should be taking into account in order to have an ethical algorithmic decision-making in healthcare.
During the next 6 years (May 2023-2029), the project will analyze how different kind of medical technologies can raise some ethical issues and how different solutions can be proposed to deal with those normative concerns.
Steven S. Gouveia is the main researcher of this project, based at the Mind, Language and Action Group, Institute of Philosophy, University of Porto.
Social Robotics at The Division of Robotics, Perception and Learning (RPL) at the School of Electrical Engineering and Computer Science, KTH, Stockholm
In the near future robots will enter into our daily lives and we need to make them more socially compatible with human. In order to safely and meaningfully interact with humans, robots must develop an advanced real-world social intelligence and be transparent with respect to the causes and reasons for their actions to human users, i.e. they must be able to communicate in terms that humans find intuitive and understandable.
The collaboration between RPL and RADAR takes place through the S-Factor project whose representative at RPL is Associate Professor Iolanda Leite.
Utrecht University’s Data School
Utrecht University’s Data School investigates how big data and AI affect citizenship and democracy, and how public management transforms. Their team of researchers and experts are working on cutting-edge projects that are shaping the future of fields such as social media research and digital ethics. In addition to merely understanding technological and social change, they develop applications for responding to challenges it constitutes. The research of the Data School produces applicable solutions such as educative formats for training and upskilling, and practical impact assessments and audits for implementing responsible data and AI practices. They are committed to producing impactful research that informs policy and practice.
RADAR collaborates with Associate Professor Mirko Schaefer, co-founder and Faculty of Science lead of the Data School, on topics related to value-sensitive design and the Data Ethics Decision Aid (DEDA) designed in the Data School.