ML, Explain Yourself! is a 3-day conference in Utrecht, the Netherlands, organized by the Normative Philosophy of Science Lab at Utrecht University and Eindhoven University of Technology. It is the capstone conference for the Dutch Research Council Veni project: Explain yourself!? The scope of understanding and explanation from machine learning. The conference will bring together philosophers and computer science researchers to discuss issues in machine learning surrounding decision support, scientific discovery, generalization, explanation, idealization, reliability, values, trust, and other areas in normative philosophy of science.
Registration is free but required. Registration includes a wine and beer reception on April 12.
10th April | Drift 21 (room 0.32), 3512 BR Utrecht |
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14:00—14:10 | Welcome and coffee |
14:10—15:10 | Keynote Nava Tintarev |
15:10—15:30 | Break |
15:30—16:10 | Alex Mussgnug Convenience ML: When Science Becomes a Playground |
16:10—16:50 | Sara Pernille Jensen ML Models as Phenomenological Models - Traditional Problems Call for Traditional Solutions |
16:50—17:30 | Tom Sterkenburg The Epistemic Core of Machine Learning |
17:30 | End Day 1 |
11th April | Boothstraat 7, 3512 BT Utrecht |
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09:00—09:20 | Welcome and coffee |
09:20—10:00 | Dana Matthiessen Understanding Through Coordinated Practices: Uses of Deep Learning Algorithms in Structural Biology |
10:00—10:40 | Mariana Vitti Rodrigues Explanatory Inference, Understanding, and Protein Language Models |
10:40—11:00 | Break |
11:00–11:40 | Benjamin Smarr Learning from the Machine’s Mistakes: A Numerical Landscape Approach to Addressing Biomedical ML Bias |
11:40—12:20 | Timo Freiesleben & Sebastian Zezulka Science as a Kaggle Challenge: How Benchmarking Impacts Scientific Methodology |
12:20—13:45 | Lunch |
13:45–14:25 | Cordelia Berz The Logic of Counterfactuals: Desiderata for Explanations of Algorithmic Decisions |
14:25–15:05 | Adam Mehdi Arafan Human-Centered Value Alignment with Counterfactuals: A New Metric for Trading-off Decision Paralysis with Explainable Counterfactual Reasoning |
15:05–15:45 | Break |
15:45–16:30 | Caroline von Klemperer Machine Learning and The Ethics of our Cognitive Lives |
16:30–17:30 | Lauren Ross Keynote |
17:00 | End Day 2 |
12th April | Boothstraat 7, 3512 BT Utrecht |
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09:15—09:30 | Welcome and coffee |
09:30—10:10 | Jens Ulrik Hansen & Paula Quinon The Importance of Expert Knowledge in Large Language Models |
10:10—10:50 | Paula Muhr Automating Image-Based Diagnosis of Functional Neurological Disorder: Challenges and Implication |
10:50–11:10 | Break |
11:10—11:50 | Aleks Knoks & Thomas Raleigh Opacity, Explainability and Simplifying Models |
11:50—12:30 | Yeji Streppel The Value Demarcation Problem in Machine Learning |
12:30—14:00 | Lunch |
14:00–15:00 | Zack Lipton Keynote |
15:00–15:30 | Break |
15:30–16:10 | Oliver Buchholz Against Objectivism about Explanation - In Machine Learning and Beyond |
16:10–17:00 | André Curtis-Trudel, Darrell Rowbottom, and Tjonnie Li On Finding What You’re Not Looking For: Prospects and Challenges for DL-Driven Discovery |
17:00–18:00 | Reception |
18:00 | End Day 3 |