HCAIM Webinar : Provability, Accountability, Understandability in AI

HCAIM Webinar : Provability, Accountability, Understandability in AI

Hey everybody, Our HCAIM Webinar is on the roll as we move fast to develop our cool AI Ethics Masters funded by EU. Come join me and my colleagues from Budapest University of Technology and Economics (BME) live on Thursday 13:00 Amsterdam time - here on #LinkedinLive! With me are Dr. Péter ANTAL, Associate Professor & Head of AI Group and Dr. Mihály HÉDER, Head of Dept. for Philosophy and History of Science discussing the future of AI. An awesome combination to have when you're talking about AI from statistical learning and philosophy, don't you think? We will inspect a three-tier approach to trustworthy AI: (1) a mathematical approach based on logical and probabilistic provability, (2) a legal approach using accountability and responsibility, and (3) an ethical engineering approach aiming for transparency and understandability throughout the development. We discuss their role in ethics guidelines to support comprehensive workflows for nurturing human compatible trustworthy AI systems. See you then! Also follow us Linkedin:   / admin   Website: https://www.humancentered-ai.eu/ Twitter:   / hcaimaster