Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation

被引：1

作者：

Schedl, Markus ^{[1
,2
]}

Gomez, Emilia ^{[3
,4
]}

Lex, Elisabeth ^{[5
]}

机构：

[1] Johannes Kepler Univ Linz, Linz, Austria

[2] Linz Inst Technol, Linz, Austria

[3] Joint Res Ctr, European Commiss, Seville, Spain

[4] Univ Pompeu Fabra, Barcelona, Spain

[5] Graz Univ Technol, Graz, Austria

来源：

PROCEEDINGS OF THE 45TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '22) | 2022年

基金：

奥地利科学基金会;

关键词：

recommender systems; information retrieval; ethics; fairness; non discrimination; diversity; transparency; regulation;

D O I：

10.1145/3477495.3532683

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：3420 / 3424

页数：5

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