Retrieval and recommendation systems at the crossroads of artificial intelligence, ethics, and regulation

Schedl, Markus; Gómez Gutiérrez, Emilia, 1975-; Lex, Elisabeth

doi:http://dx.doi.org/10.1145/3477495.3532683

Retrieval and recommendation systems at the crossroads of artificial intelligence, ethics, and regulation

Citation

Schedl M, Gómez E, Lex E. Retrieval and recommendation systems at the crossroads of artificial intelligence, ethics, and regulation. In: SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval; 2022 Jul 11-15; Madrid, Spain. New York: Association for Computing Machinery; 2022. p. 3420-4. DOI: 10.1145/3477495.3532683

Abstract

This tutorial aims at providing its audience an interdisciplinary overview about the topics of fairness and non-discrimination, diversity, and transparency of AI systems, tailored to the research fields of information retrieval and recommender systems. By means of this tutorial, we would like to equip the mostly technical audience of SIGIR with the necessary understanding of the ethical implications of their research and development on the one hand, and of recent political and legal regulations that address the aforementioned challenges on the other hand.