Europe has taken a clear stand that we want AI, but we do not want just any AI. We want AI that we can trust. This talk will present the European approach to Trustworthy AI and give an overview of some of the interesting research problems related to Trustworthy AI. Special emphasis will be placed on the need to integrate reasoning and learning to combine the power of data-driven methods with the formal guarantees and general solutions provided by reasoning-based approaches. The successful realization of Trustworthy AI will be paramount for addressing the major challenges we as a global society is facing. The talk is partly based on the ongoing work in the H2020 ICT-48 network TAILOR which has the goal of developing the scientific foundations for Trustworthy AI through integrating learning, optimisation and reasoning.
Lecturer short CV
Fredrik Heintz is a Professor of Computer Science at Linköping University, Sweden. He leads the Reasoning and Learning group. His research focus is artificial intelligence especially Trustworthy AI and the intersection between knowledge representation and machine learning.
He is the Director of the Wallenberg AI and Transformative Technologies Education Program (WASP-ED), Director of the Graduate School for the Wallenberg AI, Autonomous Systems and Software Program (WASP), Coordinator of the TAILOR ICT-48 network developing the scientific foundations of Trustworthy AI, and the President of the Swedish AI Society. He is also very active in education activities both at the university level and in promoting AI, computer science and computational thinking in primary, secondary and professional education. Fellow of the Royal Swedish Academy of Engineering Sciences (IVA).