A virtual room was created to talk about each poster. Please go to the workshop website for the links

12:30-13:00: Live posters session 1 * Impact of Legal Requirements on Explainability in Machine Learning (Adrien Bibal, Michael Lognoul, Alexandre de Streel, Benoît Frénay) * Content Moderation as Legal Compliance: Annotating Hate Speech Using Judicial Legal Frameworks for Natural Language Processing Tasks (Thales Bertaglia, Giovanni De Gregorio, Catalina Goanta, Jerry Spanakis) * Predicting Court Decisions for Alimony: Avoiding Extra-legal Factors in Decision made by Judges and Not Understandable AI Models (Fabrice Muhlenbach, Isabelle Sayn, Long Nguyen-Phuoc) * Detecting and Explaining Unfairness in Consumer Contracts with Memory Networks (Federico Ruggeri, Francesca Lagioia, Marco Lippi, Paolo Torroni) * A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal (Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran) * The interrelation between Data and AI Ethics in the context of Impact Assessments (Emre Kazim, Adriano Soares Koshiyama) - Poster - zoom link

13:00-13:30: Live posters session 2 * Accuracy Bounding: A Regulatory Path Forward for the Algorithmic Society (Aileen Nielsen) * The AI Accident Network: Artificial Intelligence Liability Meets Network Theory (Anat Lior) * Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices (Manish Raghavan, Solon Barocas, Jon Kleinberg, Karen Levy) * Conceptualizing Facial Recognition Technology in its Technical and Legal Dimensions (Natalia Menendez) * Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination (Damian Borth, Lea Steinacker)