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. With this hybrid-format seminar series, we wish to take advantage of the limitations imposed by Covid-19 to start an informal conversation about different aspects of Responsible AI across Denmark and abroad.
Please join us for exciting, important, and truly interdisciplinary conversations!
Organizers: Eike Petersen, Aasa Feragen, Melanie Ganz and Sune Hannibal Holm from the DFF-funded project Bias and Fairness in Medicine.
The seminar can always be attended at this fixed zoom link.
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Coming talks
Stay tuned and sign up for our newsletter below. More seminars are coming soon!Previous talks
Wojciech Samek (TU Berlin, Fraunhofer HHI): From Attribution Maps to Concept-Level Explainable AI. June 24, 2022. [Video]
Ben Glocker (Imperial College London, Kheiron Medical Technologies): Algorithmic encoding of protected characteristics. March 30, 2022. [Video]
Laure Wynants (Maastricht University): A journey through the disorderly world of diagnostic and prognostic models for covid-19: a living systematic review. March 2, 2022. [Video]
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. February 9, 2022. [Video]
Enzo Ferrante (CONICET): Gender bias in X-ray classifiers for computer-assisted diagnosis. November 5, 2021. [Video]
Julia Amann (ETH): Reconciling medical AI & patient-centered care. October 1, 2021. [Video]
Anders Eklund (Linköping University): Sharing synthetic medical images — a way to circumvent GDPR? September 17, 2021. [Video]
Jens Chistian Krarup Bjerring, (AU): Black-box decision making in medicine: some thoughts and questions. June 18, 2021. [Video]
Veronika Cheplygina (ITU): How I failed machine learning in medical imaging — shortcomings and recommendations. May 28, 2021. [Slides] [Video]
Lars Kai Hansen (DTU): Values in AI. May 7, 2021. [Slides] [Video]