Trustworthy Recommender Systems
                                Elisabeth Lex1
                                1
                                    Graz University of Technology, Rechbauerstraße 12, 8010, Graz, Austria


                                                                         Abstract
                                                                         Recommender systems play a pivotal role in shaping our digital experiences, influencing the content
                                                                         we see online, the products we consider purchasing, and the entertainment choices we make, such as
                                                                         which movies to watch. The increased adoption of deep learning technologies in recommender systems,
                                                                         while enhancing their effectiveness, has also raised substantial concerns regarding their transparency
                                                                         and trustworthiness. Critical issues such as bias, fairness, and privacy are increasingly coming under
                                                                         scrutiny, both in public discourse and academic research. In response, there’s a growing momentum in
                                                                         developing recommender systems that are not only efficient but also uphold these ethical standards.




                                HCI SI 2023: Human-Computer Interaction Slovenia 2023, January 26, 2024, Maribor, Slovenia
                                $ elisabeth.lex@tugraz.at (E. Lex)
                                € https://elisabethlex.info/ (E. Lex)
                                 0000-0001-5293-2967 (E. Lex)
                                                                       © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
                                    CEUR
                                    Workshop
                                    Proceedings
                                                  http://ceur-ws.org
                                                  ISSN 1613-0073
                                                                       CEUR Workshop Proceedings (CEUR-WS.org)




CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings