Bridging the gap between technical and non-technical viewpoints on AI and society.

Symposium on AI and Society

22 Dec 2023 09:15 - 14:30

The goal of the symposium is to tighten the link between technical viewpoints on the societal risks of AI and those from industry, law and policy. Top experts in Belgium representing these diverse viewpoints will present their work and participate in a panel discussion. Following the symposium, Maarten Buyl will hold his public PhD defense on the topic of AI fairness.

More info & registration ⇗

Practical information:

22 Dec 2023 09:15 - 14:30

Aula Academica of Ghent University

English

Target audience: people working in AI (including in academia, policy and industry)

Want to register?

Register until: 13 Dec 2023
Prerequisites: a strong background in AI (technical, legal or policy)
Price: free

More info & registration ⇗

Georganiseerd door:

Over the past decade, concerns about the societal risks posed by AI systems have been steadily growing. AI systems have already been known to reinforce discriminatory biases, violate privacy, and manipulate public discourse. A wealth of technical work has been produced to assess and mitigate those risks, yet it is often based on simplistic assumptions of the role that AI plays in the real world.

The goal of this symposium is to tighten the link between technical viewpoints on the societal risks of AI and those from industry, law and policy. Hence, top experts in Belgium representing these diverse viewpoints, from within academia and without, will present their work and the challenges they face in addressing the societal risks of AI. Afterwards, they will participate in a panel discussion.

The invited speakers are:

Toon Calders (University of Antwerp)
Jelle Hoedemaekers (Agoria)
David Martens (University of Antwerp)
Sofie Serwir (Permanent Representation of Belgium to the EU)
Katrien Verbert (KU Leuven)

Please refer to the website for details on the programme and registration.

Following the symposium, Maarten Buyl will hold his public PhD defense on the topic of AI fairness. His thesis proposes technical tools to mitigate algorithmic bias and discusses the limitations of technical tools in truly achieving fair decision processes. The presentation is aimed at a non-expert audience.

Please note that registration free, but mandatory.

Organized by Maarten Buyl, MaryBeth Defrance and Tijl De Bie at Ghent University.

Supported by the Flanders AI Academy (VAIA) and the Flanders AI Research Program (FAIR).