Andreas Krause appointed expert to UN's High-level AI Advisory Body
The United Nations has launched a global AI Advisory Body to work on risks, opportunities and international governance of the technology. Professor Andreas Krause, head of the Learning & Adaptive Systems Group and Chair of the ETH AI Center, is amongst the appointed experts. Congratulations!
Earlier this week, the United Nations has launched a global AI Advisory Body to work on risks, opportunities and international governance of the technology. Bringing together experts in relevant disciplines from around the world, the body will provide perspectives and options on how AI can be governed for the common good, aligned with human rights and the sustainable development goals. Amongst the 38 experts appointed to the Advisory Board is Professor Andreas Krause, head of the Learning & Adaptive Systems Group at the Department of Computer Science and Chair of the ETH AI Center.
As things stand, AI expertise is concentrated in a handful of companies and countries. This could deepen global inequalities and turn digital divides into chasms. The potential harms of AI extend to serious concerns over misinformation and disinformation; the entrenching of bias and discrimination; surveillance and invasion of privacy; fraud, and other violations of human rights. Without entering into a host of doomsday scenarios, it is already clear that the malicious use of AI could undermine trust in institutions, weaken social cohesion, and threaten democracy itself. For all these reasons, the High-level Advisory Body on Artificial Intelligence has been established. Congratulations to Professor Andreas Krause and all the best in this important new role.
More about Andreas Krause
Andreas Krause is a Professor of Computer Science at ETH Zurich, where he leads the Learning & Adaptive Systems Group. He also serves as Academic Co-Director of the Swiss Data Science Center and Chair of the ETH AI Center, and co-founded the ETH spin-off LatticeFlow. Before that he was an Assistant Professor of Computer Science at Caltech. He received his Ph.D. in Computer Science from Carnegie Mellon University (2008) and his diploma in Computer Science and Mathematics from the Technical University of Munich, Germany (2004). He is a Max Planck Fellow at the Max Planck Institute for Intelligent Systems, an ELLIS Fellow, a Microsoft Research Faculty Fellow and a Kavli Frontiers Fellow of the US National Academy of Sciences. He received the Rössler Prize, ERC Starting Investigator and ERC Consolidator grants, the German Pattern Recognition Award, an NSF CAREER award, the Okawa Foundation Research Grant recognizing top young researchers in telecommunications as well as the ETH Golden Owl teaching award. His research on machine learning and adaptive systems has received awards at several premier conferences and journals, including the ACM SIGKDD Test of Time award 2019 and the ICML Test of Time award 2020. Andreas Krause served as Program Co-Chair for ICML 2018, and currently serves as General Chair for ICML 2023 and as Action Editor for the Journal of Machine Learning Research.