Workshop: Philosophy of XAI - State of the Field
This workshop aims to bring together philosophers working on explainability/interpretability/transparency in machine learning, to share recent work and discuss future directions for the field.
Info about event
Time
Location
1532-122 (Aud G2): Department of Mathematics, Aarhus University, Ny Munkegade 118, 8000 Aarhus C, Denmark
Lunch, coffee/tea, cake, and fruit will be served at the workshop for those who have signed up beforehand. You can do so for free via our registration form. Use the "register" button above and click "participant" to navigate to the form.
Confirmed list of speakers and presentation titles:
- Juan Duran & Emma-Jane Spencer (TU Delft): "The Limits of Reliability in Healthcare AI: What It Means and What We Can Do"
- Will Fleisher (Georgetown University): “XAI, Disagreement, and Idealized Models”
- Thomas Grote (University of Tübingen): TBA
- Jens Ulrik Hansen (Roskilde University): TBA
- Joshua Hatherley (University of Copenhagen): “Federated Learning, Ethics, and the Double Black Box Problem in Medical AI”
- Lena Kästner (University of Bayreuth): “Panacea or False Promise? — XAI and Desiderata Satisfaction”
- Lauritz Munch (Aarhus University): “A fourth account of the right to explanation”
- Eva Schmidt (TU Dortmund): "The Reasons of AI"
- Kate Vredenburgh (London School of Economics): TBA
- Carlos Zednik (TU Eindhoven): TBA
Full program and talk titles will be announced soon.