Responsible AI Seminar

An interdisciplinary, inter-university seminar series


The seminar can always be attended at this fixed zoom link.

Coming talks

February 9, 2022, 10am: Timothy Miller (University of Melbourne). Explainable artificial intelligence: beware the inmates running the asylum. Or: How I learnt to stop worrying and love the social and behavioural sciences.

Abstract: In his book “The Inmates are Running the Asylum: Why High-Tech Products Drive Us Crazy and how to Restore the Sanity,” Alan Cooper argues that a major reason why software is often poorly designed (from a user perspective) is that programmers are in charge. As a result, programmers design software that works for themselves, rather than for their target audience; a phenomenon he refers to as the ‘inmates running the asylum’. In this talk, I will argue that the field of explainable AI risks a similar fate if AI researchers and practitioners do not take a cross-disciplinary approach to explainable AI. I will present an overview of the intersection of explainable AI and will present some key examples of how to integrate social science knowledge into these methods.

Tim is a professor of computer science in the School of Computing and Information Systems at The University of Melbourne, and Co-Director for the Centre of AI and Digital Ethics. His primary area of expertise is in artificial intelligence, with particular emphasis on human-AI interaction and collaboration and Explainable Artificial Intelligence (XAI). His work is at the intersection of artificial intelligence, interaction design, and cognitive science/psychology.

Attend this talk on Zoom.

March 30, 2022, 1pm: Ben Glocker (Imperial College London). Topic TBA.

Previous talks

Friday November 5 2021, 15:00-16:00 Enzo Ferrante (CONICET): Gender bias in X-ray classifiers for computer-assisted diagnosis [Video]
Friday October 1 2021 13:00-14:00 Julia Amann (ETH): Reconciling medical AI & patient-centered care [Video]
Friday September 17 2021 11:00-12:00 Anders Eklund (Linköping University): Sharing synthetic medical images - a way to circumvent GDPR? [Video]
Friday June 18 2021, 13:00-14:00 Jens Chistian Krarup Bjerring, (AU): Black-box decision making in medicine: some thoughts and questions [Video]
Friday May 28 2021 13:00-14:00 Veronika Cheplygina (ITU): How I failed machine learning in medical imaging -- shortcomings and recommendations [Slides] [Video]
Friday May 7 2021 15:00-16:00 Lars Kai Hansen (DTU): Values in AI [Slides] [Video]

All previous talks can be found in our Youtube playlist.


Responsible AI draws on widely different scientific disciplines, from the technical aspects of AI, via ethics, philosophy and law, to the individual realities of different application domains. We wish to take advantage of the limitations imposed by Covid-19 to start an informal conversation across Denmark about different aspects of Responsible AI via a hybrid format seminar series. We hope to catch your interest with three seminar talks before the summer vacation, following which we hope to merge efforts across universities to start a truly inter-university seminar series.

Please join us for exciting talks and discussions.

Initiators: Aasa Feragen, Melanie Ganz and Sune Hannibal Holm from the DFF-funded project Bias and Fairness in Medicine.