The American Council on Germany, the German Center for Research and Innovation (DWIH) New York, and the Munich Center for Machine Learning (MCML) are holdinga breakfast briefing on, “The Illusion of Confidence: Navigating Trust in AI Outputs” with Daniel Cremers, Stefan Feuerriegel, Elonore Fournier-Tombs, Reinhard Heckel, Jeannette M. Wing, and Joann Halpern (Moderator)
Daniel Cremers holds the Chair for Computer Vision and Artificial Intelligence at TUM. He conducts research in the fields of image processing, machine learning and robotics. The aim of this research is to teach machines how to analyze and interpret image data. The methodological focus of his research is on convex optimization, statistical learning and neural networks. He was awarded the Gottfried Wilhelm Leibniz Prize in 2016 — Germany’s highest academic honor.
Stefan Feuerriegel holds a dual appointment at the LMU Munich School of Management and the Faculty of Mathematics, Informatics, and Statistics. His research focuses on developing AI algorithms to support data-driven decision-making for businesses and public organizations. He is also dedicated to advancing ‘AI for good’, aiming to create positive social impact through responsible and ethical AI applications.
Eleonore Fournier-Tombs is a senior researcher at UNU-CPR and Research Lead for the UN’s High-Level Advisory Body on Artificial Intelligence. During her career, Eleonore Fournier-Tombs has worked as a data scientist throughout the United Nations system and conducted research at the intersection of technology and gender, migration, democracy and health.
Reinhard Heckel holds the Chair for Machine Learning at TUM. He focuses on developing algorithms and theoretical foundations for deep learning: particularly in medical imaging application and on the utilization of DNA as a digital information technology. He was named to Capital’s “40 under 40” in 2022.
Jeannette M. Wing is Executive Vice President for Research and Professor of Computer Science at Columbia University. Her current research interests are in trustworthy AI. Her areas of research expertise include security and privacy, formal methods, programming languages, and distributed and concurrent systems. She is widely recognized for her intellectual leadership in computer science, and more recently in data science.
Joann Halpern (moderator) is the Director of the Hasso Plattner Institute, New York (HPI) and an adjunct professor in the Department of Applied Statistics, Social Science, and Humanities at New York University. Prior to joining HPI, she was founding director of the German Center for Research and Innovation (GCRI), which was created as a cornerstone of the German government’s initiative to internationalize science and research.