| 9:30 - 10:00 | Coffee and Registration |
| 10:00 - 10:10 | Sebastian Schelter (BIFOLD): Welcome & Introduction |
| 10:10 - 11:30 | Keynotes - 10:10-10:50 Kristina Irion (University of Amsterdam), Title: Law meets computer science: Making sense of the AI Act
- 10:50-11:30 Saskia Welsch (SAP, AI Ethics Team), Title: The EU AI Act: A Practical Introduction based on an SAP AI Use Case
|
| 11:30 - 11:45 | Break |
| 11:45 - 12:05 | Gong Session: XAI and Transparency - Stefan Haufe (Physikalisch-Technische Bundesanstalt), Title: Can ‘explainable' AI be used to provide quality control for ML?
- Thomas Schnake (BIFOLD), Title: Towards Symbolic XAI –Explanation Through Human Understandable Logical Abstraction
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| 12:05 - 12:30 | Gong Session: Data Compliance - Sebastian Schelter (BIFOLD), Title: “Forget Me Now” - Towards Low-latency machine unlearning
- Stefan Grafberger (BIFOLD), Title: Automated Provenance-Based Screening of ML Data Preparation Pipelines
- Shubha Guha (University of Amsterdam), Title: Towards Understanding the Impact of Data Quality on Social Harms
- Yichun Wang (University of Amsterdam), Title: Data Quality in AI: Where Technology Meets Regulation
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| 12:30 - 12:50 | Gong Session: Examples from Medicine - Gabriel Dernbach (Charité Berlin), Title: An Immunological Characterisation of the Tumor microenvironment in non small cell lung cancer
- Laure Ciernik (BIFOLD), Title: Building effective and calibrated rare disease classifiers with odd-k-out learning
|
| 12:50 - 13:50 | Lunch Break |
| 13:50 - 14:15 | Gong Session: Law and Ethics - Dimitri Staufer (TU Berlin), Title: LLMs Infer Protected Attributes Beyond Proxy Features
- Dafna Burema (Cluster Science of Intelligence), Title: Operationalizing ‘human oversight’
- Carsten Ritter (Kanzlei Quinn Emanuel Urquhart & Sullivan), Title: Research Enabling Compliance
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| 14:15 - 14:40 | Gong Session: Privacy Preserving Learning - Dennis Grinwald (BIFOLD), Title: Privacy-preserving machine learning on decentralised data
- Daniel Becking (Fraunhofer HHI), Title: Neural Network Coding for Energy-Efficient Communication in Federated Learning
- Lennart Behme (BIFOLD), Title: Finding the Right Data for Your Task Without Looking Into Them
- Nele Brügge (DFKI, Labor Lübeck), Title: It’s All a Matter of Perspective - Privacy-Friendliness of Facial Feature Extractors for Distributed and Explainable Machine Learning
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| 14:40 - 15:00 | Coffee Break |
| 15:00 - 16:15 | Discussion & Break-out sessions |
| 16:15 - 16:25 | Short Break |
| 16:25 - 17:30 | Final discussion and wrap-up |
