Technical and Regulatory Perspectives on Information Retrieval and Recommender Systems

Markus Schedl is a full professor at Johannes Kepler University (JKU) Linz, Austria, affiliated with the Institute of Computational Perception, leading the Multimedia Mining and Search Group. In addition, he is the head of the Human-centered AI group at the Linz Institute of Technology (LIT) AI Lab. His main research interests revolve around fairness, transparency, and privacy of recommender systems and language models. Markus is a key researcher in Austria’s Cluster of Excellence project “Bilateral Artificial Intelligence” and has been the PI of numerous fundamental research projects.Vito Walter Anelli is an assistant professor (researcher tenure track) at Politecnico di Bari, Italy. His research primarily focuses on recommender systems, knowledge representation, and user modeling. He has contributed to these fields with publications in highly recognized journals and conferences. A key area of his work involves the privacy and security of recommender systems, with particular emphasis on federated learning approaches and adversarial learning techniques. On these topics, he has delivered several tutorials and also authored a chapter of the Recommender Systems Handbook.Elisabeth Lex is an associate professor at Graz University of Technology and principal investigator of the Recommender Systems and Social Computing Lab at the Institute of Interactive Systems and Data Science. Her research interests include recommender systems, user modeling, information retrieval, and data science, with a particular focus on psychology-informed and responsible recommender systems as well as human decision making. Elisabeth has authored numerous papers and delivered several tutorials on these topics in top venues. She also holds seminars jointly with legal scholars specialized in minority rights and non-discrimination.

• 1. Introduction.- 2. Regulatory Initiatives.- 3. Biases, Fairness, and Non-discrimination.- 4. Transparency.- 5. Privacy and Security.- 6. Conclusions and Open Challenges.