UiB AI #16 Trustworthy AI
This UiB AI seminar is about AI and trustworthiness. Can we trust AI?
Main content
Over the past decade, artificial intelligence has achieved major technological breakthroughs and has become part of research, education and working life. However, for AI to gain widespread acceptance in society, it is crucial that the systems that use artificial intelligence are reliable. Today's AI systems lack scientific definitions and clear criteria for values such as fairness, responsibility, security, privacy and other important ethical aspects. There are also serious weaknesses in the legal frameworks within which AI systems operate, as well as problems with the accuracy and robustness of the systems.
To address these challenges and strengthen high-quality AI research at UiB, the Trond Mohn Research Foundation (TMF) and the University of Bergen have developed and co-financed the Trustworthy AI research programme. This seminar will present insights from this research programme.
The seminar is held in English.
PROGRAMME
09:00 Coffee/tea and mingling
09:15 Welcome and today's programme. Dag Stenvoll, coordinator of UiB AI
09:20 "The Trustworthy AI research programme". Nicolas Nunn, Trond Mohn Research Foundation & Barbara Wasson, TAIS
09:35 "Algorithmic Foundations of Trustworthy AI". Fedor Fomin from the Department of Informatics, UiB & Thomas Ågotnes, Department of Information Science & Media Studies
09:55 ""TRUSTworthy AI models to predict progression to complications in patients with Diabetes". Valeriya Lyssenko from the Mohn Research Center for Diabetes Precision Medicine, UiB & Iain Johnston, Department of Mathematics
10:15 Break and coffee
10:30 "Artificial Intelligence in Education: Layers of Trust", Barbara Wasson
10:50 "PANEL “Conceptions of Trust & Trustworthy AI”. Participants Malgorzata Cyndecka (Law), Pål Grønås Drange (Informatics), Jessa Henderson (SLATE), Linda Sleire (Laboratorieklinikken HUS, Helse Bergen) og Kirsty Kitto (SLATE, moderator)
11:15 Discussion
11:30ish Light lunch and mingling