Workshop: Philosophy of Explainable AI - New Directions

For the second consecutive year, we welcome to Aarhus University both experienced and early-career scholars who are doing remarkable work in the philosophy of AI transparency and explainability. The program features six keynote speakers carefully selected according to their significant contributions to various areas in the field, and nine scholars who have submitted outstanding abstracts to our open call. The range of talks will cast diverse perspectives on salient issues within epistemology, ethics, and governance. The full program can be found below. 

The event takes place at building 1422 (Studenternes Hus), room 122 (Richard Mortensen Stuen). Address: Fredrik Nielsens Vej 4, 8000 Aarhus C.

Everyone is welcome to join the workshop, whether the full or just parts of the program. Participation is free and we offer lunch and coffee/cake. To ensure the right amount of food and refreshments, we kindly ask you to register via the link above if you plan to join us for lunch one or more of the three days the workshop is running. If your plans change after registering, please e-mail us to prevent food waste. Registration deadline is Sunday, 28 June. 

We are happy to answer your questions regarding the workshop via treat@au.dk  

Program: 

Tuesday 7 July  

09:00 – 09:30   Welcome coffee  

09:30 – 10:30 Andrés Páez (University of the Andes): Deflating XAI (Opening keynote)  

10:30 – 11:00   Coffee break  

11:00 – 11:45 Myraeka d'Leeuwen (University of North Carolina): What do we gain from mechanistic interpretability?  

11:45 – 12:30 Luka Poslon & Johannes Gebert (Catholic University of Croatia & University of Stuttgart): Towards Responsible AI in Transplant Medicine - Normative Criteria for Epistemic Justification  

12:30 – 14:00   Lunch  

14:00 – 14:45 Iwan Williams (University of Copenhagen): Doing without etiological functions in representational explanations of AI models  

14:45 – 15:15   Coffee break  

15:15 – 16:15 Claus Beisbart (University of Bern): Explainability and informed consent (Closing keynote)  

16:15   End of day  

Wednesday 8 July  

09:00 – 09:30   Morning coffee  

09:30 – 10:30 Stefan Buijsman (Delft University of Technology): Designing socio-technical systems for explainability (Opening keynote)  

10:30 – 11:00   Coffee break  

11:00 – 11:45 Phillip Kieval (University of Florida): Rationalization in Reasoning LLMs - Understanding the Functional Role of Performative Chains-of-Thought   

11:45 – 12:30 Loise Mwarangu (University of Nairobi): Reimagining AI Otherwise - Toward Participatory and Culturally Grounded Explainable AI  

12:30 – 14:00   Lunch  

14:00 – 14:45 Donal Khosrowi (Leibniz University Hannover): Explainability-in-Context - New Demands for Explaining how ML Systems Shape What They Predict  

14:45 – 15:15   Coffee break  

15:15 – 16:15 Karoline Reinhardt (University of Passau): Ability to Explain and Obligation to Explain (Closing keynote)  

16:15   End of day  

Thursday 9 July  

09:00 – 09:30   Morning coffee  

09:30 – 10:30 Annika Schuster (Technical University of Dortmund): Illusions of Objectivity in XAI (Opening keynote)  

10:30 – 11:00   Coffee break  

11:00 – 11:45 Rasleen Kour (Indian Institute of Technology Ropar): Designing Explainable AI for the Marginalized - A Talismanic Approach  

11:45 – 12:30 Cornelia Knieling (University of Pittsburgh): Deep Learning Models in Science: Explanation without Representation?  

12:30 – 14:00   Lunch  

14:00 – 14:45 Frederik August Wallind (University of Copenhagen): When Is Pragmatic Interpretability Enough? Role Profiles and Mechanistic Assurance in Explainable AI  

14:45 – 15:15   Coffee break  

15:15 – 16:15 Luca Nannini (University of Santiago de Compostela): XAI in Standardisation (Closing keynote) 

16:15   End of conference  

(Program remains subject to minor changes).