Technical and regulatory perspectives on information retrieval and recommender systems: fairness, transparency, and privacy
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham
Springer International Publishing AG
2025
|
| Schriftenreihe: | The information retrieval series
volume 50 |
| Schlagwörter: | |
| Links: | https://www.dietmardreier.de/annot/564C42696D677C7C393738333033313639393737317C7C434F50.jpg?sq=2 |
| Abstract: | This book provides an in-depth treatment of three important topical areas related to regulatory, ethical, and technical discussions in the context of information retrieval and recommender systems (IRRSs): (1) bias, fairness, and non-discrimination, (2) transparency and explainability, and (3) privacy and security. Sometimes referred to as trustworthiness dimensions, they are analyzed by taking an interdisciplinary perspective and incorporating views from computer science, social sciences, psychology, and law and by particularly considering the related technical challenges, societal impact, ethical considerations, and regulatory approaches. After an introduction, the book first provides an overview of recent initiatives and already operational policies to regulate AI technology and discusses them in the context of IRRSs, focusing on regulations in Europe, the US, and China. Subsequent chapters present categories of biases, their relation to fairness and non-discrimination and ways to discover and mitigate harmful biases; major facets of transparency, with a focus on explainability (including common strategies to achieve it), traceability, and auditability; and privacy and security including technical approaches to mitigate privacy risks such as anonymization techniques and encryption methods. Eventually, the last chapter provides an outlook on the grand challenges in IRRSs, such as dealing with discrepancies between formal attempts, human perception, and regulatory frameworks for trustworthy IRRSs; understanding the capabilities and limitations of existing solutions in terms of fairness, transparency, and privacy; and adopting a multistakeholder perspective when developing solutions for fair, transparent, and privacy-preserving IRRSs. The book targets a mostly technical readership and aims to equip it with the necessary understanding of the ethical implications of their research and development in IRRSs as well as of recent policy initiatives and regulator |
| Umfang: | xxii, 188 Seiten Illustrationen |
| ISBN: | 9783031699771 |
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| 520 | 3 | |a This book provides an in-depth treatment of three important topical areas related to regulatory, ethical, and technical discussions in the context of information retrieval and recommender systems (IRRSs): (1) bias, fairness, and non-discrimination, (2) transparency and explainability, and (3) privacy and security. Sometimes referred to as trustworthiness dimensions, they are analyzed by taking an interdisciplinary perspective and incorporating views from computer science, social sciences, psychology, and law and by particularly considering the related technical challenges, societal impact, ethical considerations, and regulatory approaches. After an introduction, the book first provides an overview of recent initiatives and already operational policies to regulate AI technology and discusses them in the context of IRRSs, focusing on regulations in Europe, the US, and China. Subsequent chapters present categories of biases, their relation to fairness and non-discrimination and ways to discover and mitigate harmful biases; major facets of transparency, with a focus on explainability (including common strategies to achieve it), traceability, and auditability; and privacy and security including technical approaches to mitigate privacy risks such as anonymization techniques and encryption methods. Eventually, the last chapter provides an outlook on the grand challenges in IRRSs, such as dealing with discrepancies between formal attempts, human perception, and regulatory frameworks for trustworthy IRRSs; understanding the capabilities and limitations of existing solutions in terms of fairness, transparency, and privacy; and adopting a multistakeholder perspective when developing solutions for fair, transparent, and privacy-preserving IRRSs. The book targets a mostly technical readership and aims to equip it with the necessary understanding of the ethical implications of their research and development in IRRSs as well as of recent policy initiatives and regulator | |
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Datensatz im Suchindex
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| id | DE-604.BV050063672 |
| illustrated | Illustrated |
| indexdate | 2025-01-28T19:13:36Z |
| institution | BVB |
| isbn | 9783031699771 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035401215 |
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| physical | xxii, 188 Seiten Illustrationen |
| publishDate | 2025 |
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| series | The information retrieval series |
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| spelling | Schedl, Markus Verfasser (DE-588)132697162X aut Technical and regulatory perspectives on information retrieval and recommender systems fairness, transparency, and privacy Markus Schedl, Vito Walter Anelli, Elisabeth Lex Cham Springer International Publishing AG 2025 xxii, 188 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier The information retrieval series volume 50 This book provides an in-depth treatment of three important topical areas related to regulatory, ethical, and technical discussions in the context of information retrieval and recommender systems (IRRSs): (1) bias, fairness, and non-discrimination, (2) transparency and explainability, and (3) privacy and security. Sometimes referred to as trustworthiness dimensions, they are analyzed by taking an interdisciplinary perspective and incorporating views from computer science, social sciences, psychology, and law and by particularly considering the related technical challenges, societal impact, ethical considerations, and regulatory approaches. After an introduction, the book first provides an overview of recent initiatives and already operational policies to regulate AI technology and discusses them in the context of IRRSs, focusing on regulations in Europe, the US, and China. Subsequent chapters present categories of biases, their relation to fairness and non-discrimination and ways to discover and mitigate harmful biases; major facets of transparency, with a focus on explainability (including common strategies to achieve it), traceability, and auditability; and privacy and security including technical approaches to mitigate privacy risks such as anonymization techniques and encryption methods. Eventually, the last chapter provides an outlook on the grand challenges in IRRSs, such as dealing with discrepancies between formal attempts, human perception, and regulatory frameworks for trustworthy IRRSs; understanding the capabilities and limitations of existing solutions in terms of fairness, transparency, and privacy; and adopting a multistakeholder perspective when developing solutions for fair, transparent, and privacy-preserving IRRSs. The book targets a mostly technical readership and aims to equip it with the necessary understanding of the ethical implications of their research and development in IRRSs as well as of recent policy initiatives and regulator Information Retrieval (DE-588)4072803-1 gnd rswk-swf Empfehlungssystem (DE-588)7511891-9 gnd rswk-swf COMPUTERS / Data Processing / Storage & Retrieval COMPUTERS / Database Management / Data Warehousing COMPUTERS / Security / General COMPUTERS / Social Aspects / General Data Warehousing Data warehousing Datenschutz Digital- und Informationstechnologien: soziale und ethische Aspekte Ethical & social aspects of IT Ethics & moral philosophy Ethik und Moralphilosophie Information retrieval Information technology: general issues Informationsrückgewinnung, Information Retrieval Informationstechnik (IT), allgemeine Themen PHILOSOPHY / Ethics & Moral Philosophy Privacy & data protection Information Retrieval (DE-588)4072803-1 s Empfehlungssystem (DE-588)7511891-9 s DE-604 Anelli, Vito Walter Verfasser aut Lex, Elisabeth Verfasser aut Erscheint auch als Online-Ausgabe 978-3-031-69978-8 The information retrieval series volume 50 (DE-604)BV024629453 50 https://www.dietmardreier.de/annot/564C42696D677C7C393738333033313639393737317C7C434F50.jpg?sq=2 Verlag Cover |
| spellingShingle | Schedl, Markus Anelli, Vito Walter Lex, Elisabeth Technical and regulatory perspectives on information retrieval and recommender systems fairness, transparency, and privacy The information retrieval series Information Retrieval (DE-588)4072803-1 gnd Empfehlungssystem (DE-588)7511891-9 gnd |
| subject_GND | (DE-588)4072803-1 (DE-588)7511891-9 |
| title | Technical and regulatory perspectives on information retrieval and recommender systems fairness, transparency, and privacy |
| title_auth | Technical and regulatory perspectives on information retrieval and recommender systems fairness, transparency, and privacy |
| title_exact_search | Technical and regulatory perspectives on information retrieval and recommender systems fairness, transparency, and privacy |
| title_full | Technical and regulatory perspectives on information retrieval and recommender systems fairness, transparency, and privacy Markus Schedl, Vito Walter Anelli, Elisabeth Lex |
| title_fullStr | Technical and regulatory perspectives on information retrieval and recommender systems fairness, transparency, and privacy Markus Schedl, Vito Walter Anelli, Elisabeth Lex |
| title_full_unstemmed | Technical and regulatory perspectives on information retrieval and recommender systems fairness, transparency, and privacy Markus Schedl, Vito Walter Anelli, Elisabeth Lex |
| title_short | Technical and regulatory perspectives on information retrieval and recommender systems |
| title_sort | technical and regulatory perspectives on information retrieval and recommender systems fairness transparency and privacy |
| title_sub | fairness, transparency, and privacy |
| topic | Information Retrieval (DE-588)4072803-1 gnd Empfehlungssystem (DE-588)7511891-9 gnd |
| topic_facet | Information Retrieval Empfehlungssystem |
| url | https://www.dietmardreier.de/annot/564C42696D677C7C393738333033313639393737317C7C434F50.jpg?sq=2 |
| volume_link | (DE-604)BV024629453 |
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