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

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  • dc.contributor.author Schedl, Markus
  • dc.contributor.author Gómez Gutiérrez, Emilia, 1975-
  • dc.contributor.author Lex, Elisabeth
  • dc.date.accessioned 2023-02-07T07:13:19Z
  • dc.date.available 2023-02-07T07:13:19Z
  • dc.date.issued 2022
  • dc.description Comunicació presentada a: SIGIR ’22 celebrat del 11 a 15 de juliol de 2022 a Madrid, Espanya.
  • dc.description.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.
  • dc.description.sponsorship This work received financial support by the Austrian Science Fund (FWF): P33526 and DFH-23, by the State of Upper Austria and the Federal Ministry of Education, Science, and Research, through grant LIT-2020-9-SEE-113, and by the European Commission: HUMAINT project, Digital Economy Unit, Joint Research Centre.
  • dc.format.mimetype application/pdf
  • dc.identifier.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
  • dc.identifier.doi http://dx.doi.org/10.1145/3477495.3532683
  • dc.identifier.uri http://hdl.handle.net/10230/55651
  • dc.language.iso eng
  • dc.publisher ACM Association for Computer Machinery
  • dc.relation.ispartof 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.
  • dc.relation.isreferencedby https://github.com/socialcomplab/Retrieval-RecSys-AI-Ethics-Regulation-Tutorial-SIGIR22
  • dc.rights © 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword recommender systems
  • dc.subject.keyword information retrieval
  • dc.subject.keyword ethics
  • dc.subject.keyword fairness
  • dc.subject.keyword nondiscrimination
  • dc.subject.keyword diversity
  • dc.subject.keyword transparency
  • dc.subject.keyword regulation
  • dc.title Retrieval and recommendation systems at the crossroads of artificial intelligence, ethics, and regulation
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/publishedVersion