Ethics Round Table on June 21
The discussion „Teaching AI – Opportunities and Challenges of educational institutions regarding responsible research and development today for the technological innovations of tomorrow” lead by Prof. Dr. med Alena Buyx, addresses the ethical issues associated with the development and use of AI-based technological innovations within the educational environment.
What course must be set in order to make education promising for the future, so that society can be well served on a global level?
How can we create responsible innovations? How does a research process look like, when ethicists are an integral part of the AI development team right from the start? What structures and support are necessary for scientists to do so? How could politics support all this?
Apart from the development of technology, a big challenge for institutions such as the TU München, University Bamberg, University Würzburg and Fraunhofer Society is the implementation of technology in education. The increasing use of AI changes our society already today and will definitely have a significant impact on the way we teach. Is the teacher or professor of tomorrow an avatar, fully driven or just supported/enhanced by AI? Will future students accept these digital lecturers? Is digital distance learning the solution not only for pandemic situations?
Teaching with the help of AI offers a lot of possibilities and holds responsibilities. We teach students from all over the world but what do we teach AI? What should AI learn and how will we decide it? Will AI take an exam; will it graduate? How will AI qualify for certain teaching activities?
The munich_i ‘Ethics Round Table’ offers answers to the questions above and will for sure arise more.
The discussion will take place on i_space in Hall B4 @automatica on June 21, 2022 from 2:30 pm to 3:30 pm. Come to automatica, visit AI.Society and our discussions on i_space! A visitors ticket will get you there.
Prof. Dr. med. Alena Buyx, Director of the Institute for History and Ethics of Medicine at the Technical University of Munich (TUM), Director munich_i, AI Advisory Board Member of the Free State of Bavaria
"AI will sooner or later permeate our everyday lives. This raises a number of ethical and social challenges for which we need interdisciplinary exchange and collaborative formats."
Alena Buyx has been Professor of Ethics in Medicine and Health Technologies and Director of the Institute of History and Ethics in Medicine at Technical University of Munich since 2018. She has previously held appointments at the University of Kiel, University of Münster, Harvard University, and University College London; and she was Assistant Director of the Nuffield Council on Bioethics, London. Professor Buyx is a medical doctor with postgraduate degrees in philosophy and sociology. Her research spans the whole field of biomedical and public health ethics, with a particular focus on ethics of medical innovation and health technologies, research ethics, questions of solidarity and justice in contexts such as public health and health care provision, and novel participatory approaches in biomedicine and beyond. She has expertise in theoretical ethical analysis as well as in empirical, mixed-methods approaches and policy development. In addition to research and teaching, Professor Buyx is active in the political and regulatory aspects of biomedical ethics. She has been a member of the German Ethics Council since 2016 and has been the chair since 2020. Since 2019 she has been a member of the WHO Expert Advisory Committee on Developing Global Standards for Governance and Oversight of Human Genome Editing. In 2020 she was elected to the German National Academy of Sciences Leopoldina as a member of the Epistemology Section.
Markus Blume, MdL, Bavarian State Minister for Science and the Arts
Markus Blume has been Bavarian State Minister for Science and Art since February 2022, previously he was Secretary General of the CSU from 2018 to 2022. He was in charge of the CSU policy program "The Order". Blume has belonged to the bavarian state parliament since 2008. The father of two lives in Munich. Prior to his career as a politician, Blume was the founder and CEO of a mid-sized company.
Prof. Dr. Urs Gasser, TUM School of Social Sciences & Technology
Urs Gasser is Professor of Public Policy, Governance, and Innovative Technology at the Technical University of Munich, where he serves as Dean of the newly launched TUM School of Social Sciences and Technology and Rector of the Munich School of Politics and Public Policy. Prior to his appointments in Munich, Urs was Professor of Practice at Harvard Law School and from 2009-2021 Executive Director of the Berkman Klein Center for Internet & Society, where he remains a member of the board of directors.
Prof. Dr. Dr. Eric Hilgendorf, Universität Würzburg; AI Advisory Board Member of the Free State of Bavaria
Prof. Dr. Dr. Eric Hilgendorf – Head of the Department of Criminal Law, Criminal Justice, Legal Theory, Information and Computer Science Law, University of Würzburg, Germany. His main areas of interest and research are legal challenges of new technologies with respect to media, internet and computers, AI, medicine and biotechnology. Hilgendorf was a member of the German Ethics Committee on Automated Driving and of the EU´s High Level Expert Group on Artificial Intelligence. Moreover, he is one of the directors of the newly founded Bavarian Institute for Digital Transformation (bidt) and member of the Bavarian AI Council.
Prof. Dr. Ruth Müller, TUM School of Management, TUM School of Life Sciences
"Technologies have the potential to assist humans and improve our quality of life. However, it is essential to design technologies with a focus on the benefits for the many, and not the few. Question of social justice and equity need to move to the center of technology development, particularly in fields such as AI and robotics. To this end, we must foster interdisciplinary collaborations between the social sciences and AI research and address social, ethical and political questions in an integrated way already during technology development."
Ruth Müller is associate professor of Science & Technology Policy at and co-director of the Munich Center for Technology in Society (MCTS) at the Technical University of Munich (TUM). She is a researcher in Science & Technology Studies, a social science research field that explores the relations between science, technology & society in today’s highly technology-dependent societies. Prof. Müller holds degrees molecular biology (MSc) and sociology (PhD) from the University of Vienna, Austria. Before she joined TUM, she held positions at, for example, the Research Policy Institute at Lund University, Sweden and the Science & Justice Research Center at the University of California Santa Cruz, USA.
Prof. Müller’s research explores a) how changes in the social, political, and intellectual conditions of research affect knowledge production and work cultures in science, focusing specifically on challenges and opportunities responsible research and innovation; and b) the social and political implications of scientific and technological innovation, particularly in the life sciences and in biomedicine. This, of course, includes recent developments in robotics and AI. Across all research activities, Prof. Müller’s work emphasizes questions of social justice and equity, with regard to both inclusion and diversity in scientific institutions and the impact of science and technology on society. She is an expert in facilitating interdisciplinary dialogue and collaboration between the social, natural, medical and technical sciences in order to foster the responsible development of research and innovation.
Prof. Dr. Ute Schmid, University of Bamberg; AI Advisory Board Member of the Free State of Bavaria
"As a researcher in AI since more than 20 years, I am still fascinated by the challenge to develop AI-methods which can do things at which humans (currently) are better. For instance, machine learning has achieved a high level of performance for many application domains -- nevertheless, it is still far from the power and robustness of human concept learning. In my opinion, for a social responsible embedding of AI in work settings, health care, or eduction, it is crucial to provide AI eduction adapted to the information need for as many specific groups as possible -- be it children, persons with and without academic background, teachers, journalists, or decision makers."
Ute Schmid is a professor of Cognitive Systems at University of Bamberg since 2004. She has university diplomas both in psychology and in computer science from Technical University Berlin (TUB). She received her doctoral degree and her habilitation in computer science also at TU Berlin where she was assistant professor at the Methods of AI group. Ute was a visting reseachers at Carnegie Mellon University (funded by DFG) and she worked as lecturer for Intelligent Systems at the Department of Mathematics and Computer Science at University Osnabrück where she was also member of the Cognitive Science Institute. Ute Schmid is member of the board of directors of the Bavarian Insistute of Digital Transformation (bidt) and a member of the Bavarian AI Council (Bayerischer KI-Rat). Since 2020 she is head of the Fraunhofer IIS project group Comprehensible AI (CAI). Ute Schmid won the Minerva Gender Equality Award of Informatics Europe 2018 for her university. Since many years, she is engaged in educating the public about artificial intelligence in general and machine learning and she gives workshops for teachers as well as high-school students about AI and machine learning. For her outreach activities she has been awarded with the Rainer-Markgraf-Preis 2020.