Keynotes & Panels

Prof. Dr. Virginia Dignum, Umeå University

Virginia Dignum is Professor of Responsible Artificial Intelligence at Umeå University, Sweden where she leads the AI Policy Lab. She is also senior advisor on AI policy to the Wallenberg Foundations. She has a PHD in Artificial Intelligence from Utrecht University in 2004, is member of the Royal Swedish Academy of Engineering Sciences (IVA), and Fellow of the European Artificial Intelligence Association (EURAI). She is a member of the United Nations Advisory Body on AI, the Global Partnership on AI (GPAI), UNESCO’s expert group on the implementation of AI recommendations, OECD’s Expert group on AI, founder of ALLAI, the Dutch AI Alliance, and co-chair of the WEF’s Global Future Council on AI. She was a member of EU’s High Level Expert Group on Artificial Intelligence and leader of UNICEF's guidance for AI and children. Her new book “The AI Paradox” is planned for publication in late 2024.



Prof. Dr. Isabel Valera, Saarland University

Isabel Valera is full Professor on Machine Learning at the Department of Computer Science of Saarland University in Saarbrücken (Germany), and Adjunct Faculty at MPI for Software Systems in Saarbrücken (Germany). She is a fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS), where she is part of the Robust Machine Learning Program and of the Saarbrücken Artificial Intelligence & Machine learning (Sam) Unit. Prior to this, she was an independent group leader at the MPI for Intelligent Systems in Tübingen (Germany). She held a German Humboldt Post-Doctoral Fellowship, and a “Minerva fast track” fellowship from the Max Planck Society. She obtained her PhD in 2014 and MSc degree in 2012 from the University Carlos III in Madrid (Spain), and worked as postdoctoral researcher at the MPI for Software Systems (Germany) and at the University of Cambridge (UK). 

Prof. Dr. Seth Lazar, Australian National University

Seth Lazar is Professor of Philosophy at The Australian National University, an Australian Research Council (ARC) Future Fellow, and a Distinguished Research Fellow of the University of Oxford. 

He is a member of the Executive Committee of the ACM Fairness, Accountability and Transparency Conference. Leading the Machine Intelligence and Normative Theory Lab (MINT), he directs research projects on the moral and political philosphy of AI, funded by the ARC, the Templeton World Charity Foundation, the IAG, and Schmidt Futures.




Prof. Dr. Bettina Berendt, Technical University of Berlin

Bettina Berendt holds the Chair for Internet and Society at Technical University of Berlin, Germany. She is also a director of the Weizenbaum Institute in Berlin and a guest professor at KU Leuven, Belgium. Her research includes Data Science und Critical Data Science, especially with respect to Privacy/Data Protection, discrimination and fairness, as well as AI and ethics, with a focus on textual and web-related data. 

Bettina holds a PhD in Computer Science/Cognitive Science from the University of Hamburg, Germany, and a Habilitation in Information Systems from Humboldt University Berlin, Germany. She was assistant professor in Information Systems at Humboldt University Berlin, Germany, from 2003-2007 and associate professor in Artificial Intelligence at KU Leuven, Belgium from 2007-2019.