Archive of Events

This instalment focuses on the interplay between epistemic challenges of artificial intelligence and the ethical use of artificial intelligence. How can explainability support us when trying to meet the challenges of ethical use? And to what extent are there obligations for AI systems to be explainable? Presentations will explore among other things when explainability is required, how explainability relates to trust, accountability and knowledge, and will consider case studies in health care. Furthermore, four keynotes will be given by Filippo Santoni de Sio, Federica Russo, Judith Simon and Otávio Bueno.

On the 17th of May the TPM AI lab will have a luncheon in which Aishwarya (PhD at VTI, TU Delft), is engaging with the issue of posturing AI as a way for humans to engage with their moral limitations in the times of climate change along with Dr. Barbara Van Dyck (Assistant Professor at Coventry University) in a fireside chat. This is a pressing issue which needs more of our attention. Join us and let's have a lively discussion!

Prof. dr. ir. Behnam Taebi will give a short talk on the ethics of nuclear energy at Public Ethics Talks organized by University of Leiden on 4th May, 2022

The second webinar of the Pandemic and Disaster Preparedness Center (PDPC) is about the lessons learned during this pandemic and what they teach us about better water disaster preparedness. But also the other way around: What does water management teach us about structural preparedness for pandemics? And how vulnerable is our health care system during a crisis?

After six decades of research and development, aligning AI systems with our goals, intents, and values remains an elusive objective. How do we make sure that AI models capture our norms and values, understand what we mean or intend, and, above all, do what we want?

After six decades of research and development, aligning AI systems with our goals, intents, and values remains an elusive objective. How do we make sure that AI models capture our norms and values, understand what we mean or intend, and, above all, do what we want?