Associated with the Linz Institute of Technology and the Institute of Computational Perception @ JKU Linz, Austria

Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives

Abstract

This tutorial provides an interdisciplinary overview about the topics of fairness, non-discrimination, transparency, privacy, and security in the context of recommender systems. These are important dimensions of trustworthy AI systems according to European policies, but also extend to the global debate on regulating AI technology. Since we strongly believe that the aforementioned aspects require more than merely technical considerations, we discuss these topics also from ethical, legal, and regulatory points of views, intertwining different perspectives. The main focus of the tutorial is still on presenting technical solutions that aim at addressing the mentioned topics of trustworthiness. In addition, the tutorial equips the mostly technical audience of RecSys with the necessary understanding of the social and ethical implications of their research and development, and of recent ethical guidelines and regulatory frameworks.


Citation

Markus Schedl, Vito Walter Anelli, Elisabeth Lex
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives
Proceedings of the 17th ACM Conference on Recommender Systems, 1288–1290, 2023.

BibTeX

@inproceedings{Schedl2023Tutorial_Recsys_2023,
    title = {Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives},
    author = {Schedl, Markus and Anelli, Vito Walter and Lex, Elisabeth},
    booktitle = {Proceedings of the 17th ACM Conference on Recommender Systems},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    location = {Singapore, Singapore},
    url = {https://doi.org/10.1145/3604915.3609497},
    pages = {1288–1290},
    year = {2023}
}

Resources