東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Ethics of Technology." ]

切換: 標籤 | MARC模式 | ISBD

Recommender systems = legal and ethi...

Genovesi, Sergio.

FindBook

Google Book

Amazon

博客來

Recommender systems = legal and ethical issues /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Recommender systems/ edited by Sergio Genovesi, Katharina Kaesling, Scott Robbins.
其他題名:	legal and ethical issues /
其他作者:	Genovesi, Sergio.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	vi, 222 p. :ill., digital ;24 cm.
內容註:	Chapter 1: Introduction: Understanding and Regulating Al-Powered Recommender systems -- Part I: Fairness and Transparency -- Chapter 2: Recommender Systems and Discrimination -- Chapter 3: From Algoritmic Transparency to Algorithmic Choice: European Perspectives on Recommender Systems and Platform Regulation -- Chapter 4: Black Hole instead of Black Box? - The Double Opaqueness of Recommender Systems on Gaming Platforms and its Legal Implications -- Chapter 5: Digital Labor as a Structural Fairness Issue in Recommender Systems -- Part II: Manipulation and Personal Autonomy -- Chapter 6: Recommender Systems, Manipulation and Private Autonomy - How European civil law regulates and should regulate recommender systems for the benefit of private autonomy -- Chapter 7: Reasoning with Recommender Systems? Practical Reasoning, Digital Nudging, and Autonomy -- Chapter 8: Recommending Ourselves to Death: values in the age of algorithms -- Part III: Designing and Evaluating Recommender Systems -- Chapter 9: Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System -- Chapter 10: Factors influencing trust and use of recommendation AI: A case study of diet improvement AI in Japan -- Chapter 11: Ethics of E-Learning Recommender Systems: Epistemic Positioning and Ideological Orientation.
Contained By:	Springer Nature eBook
標題:	Recommender systems (Information filtering) - Moral and ethical aspects. -
電子資源:	https://doi.org/10.1007/978-3-031-34804-4
ISBN:	9783031348044

Recommender systems = legal and ethical issues /
Recommender systemslegal and ethical issues /[electronic resource] :edited by Sergio Genovesi, Katharina Kaesling, Scott Robbins. - Cham :Springer International Publishing :2023. - vi, 222 p. :ill., digital ;24 cm. - International library of ethics, law and technology,v. 401875-0036 ;. - International library of ethics, law and technology ;v. 40..

Chapter 1: Introduction: Understanding and Regulating Al-Powered Recommender systems -- Part I: Fairness and Transparency -- Chapter 2: Recommender Systems and Discrimination -- Chapter 3: From Algoritmic Transparency to Algorithmic Choice: European Perspectives on Recommender Systems and Platform Regulation -- Chapter 4: Black Hole instead of Black Box? - The Double Opaqueness of Recommender Systems on Gaming Platforms and its Legal Implications -- Chapter 5: Digital Labor as a Structural Fairness Issue in Recommender Systems -- Part II: Manipulation and Personal Autonomy -- Chapter 6: Recommender Systems, Manipulation and Private Autonomy - How European civil law regulates and should regulate recommender systems for the benefit of private autonomy -- Chapter 7: Reasoning with Recommender Systems? Practical Reasoning, Digital Nudging, and Autonomy -- Chapter 8: Recommending Ourselves to Death: values in the age of algorithms -- Part III: Designing and Evaluating Recommender Systems -- Chapter 9: Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System -- Chapter 10: Factors influencing trust and use of recommendation AI: A case study of diet improvement AI in Japan -- Chapter 11: Ethics of E-Learning Recommender Systems: Epistemic Positioning and Ideological Orientation.

Open access.

This open access contributed volume examines the ethical and legal foundations of (future) policies on recommender systems and offers a transdisciplinary approach to tackle important issues related to their development, use and integration into online eco-systems. This volume scrutinizes the values driving automated recommendations - what is important for an individual receiving the recommendation, the company on which that platform was received, and society at large might diverge. The volume addresses concerns about manipulation of individuals and risks for personal autonomy. From a legal perspective, the volume offers a much-needed evaluation of regulatory needs and lawmakers' answers in various legal disciplines. The focus is on European Union measures of platform regulation, consumer protection and anti-discrimination law. The volume will be of particular interest to the community of legal scholars dealing with platform regulation and algorithmic decision making. By including specific use cases, the volume also exposes pitfalls associated with current models of regulation. Beyond the juxtaposition of purely ethical and legal perspectives, the volume contains truly interdisciplinary work on various aspects of recommender systems.

ISBN: 9783031348044

Standard No.: 10.1007/978-3-031-34804-4doiSubjects--Topical Terms:

3664173
Recommender systems (Information filtering)
--Moral and ethical aspects.

LC Class. No.: ZA3084

Dewey Class. No.: 005.56

Recommender systems = legal and ethical issues /
LDR:03719nmm a2200349 a 4500 001 2333445
003 DE-He213
005 20230803163732.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031348044 $q (electronic bk.)
020 $a 9783031348037 $q (paper)
024 7 $a 10.1007/978-3-031-34804-4 $2 doi
035 $a 978-3-031-34804-4
040 $a GP $c GP
041 0 $a eng
050 4 $a ZA3084
072 7 $a HPQ $2 bicssc
072 7 $a PHI005000 $2 bisacsh
072 7 $a QDTQ $2 thema
082 0 4 $a 005.56 $2 23
090 $a ZA3084 $b .R311 2023
245 0 0 $a Recommender systems $h [electronic resource] : $b legal and ethical issues / $c edited by Sergio Genovesi, Katharina Kaesling, Scott Robbins.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a vi, 222 p. : $b ill., digital ; $c 24 cm.
490 1 $a International library of ethics, law and technology, $x 1875-0036 ; $v v. 40
505 0 $a Chapter 1: Introduction: Understanding and Regulating Al-Powered Recommender systems -- Part I: Fairness and Transparency -- Chapter 2: Recommender Systems and Discrimination -- Chapter 3: From Algoritmic Transparency to Algorithmic Choice: European Perspectives on Recommender Systems and Platform Regulation -- Chapter 4: Black Hole instead of Black Box? - The Double Opaqueness of Recommender Systems on Gaming Platforms and its Legal Implications -- Chapter 5: Digital Labor as a Structural Fairness Issue in Recommender Systems -- Part II: Manipulation and Personal Autonomy -- Chapter 6: Recommender Systems, Manipulation and Private Autonomy - How European civil law regulates and should regulate recommender systems for the benefit of private autonomy -- Chapter 7: Reasoning with Recommender Systems? Practical Reasoning, Digital Nudging, and Autonomy -- Chapter 8: Recommending Ourselves to Death: values in the age of algorithms -- Part III: Designing and Evaluating Recommender Systems -- Chapter 9: Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System -- Chapter 10: Factors influencing trust and use of recommendation AI: A case study of diet improvement AI in Japan -- Chapter 11: Ethics of E-Learning Recommender Systems: Epistemic Positioning and Ideological Orientation.
506 $a Open access.
520 $a This open access contributed volume examines the ethical and legal foundations of (future) policies on recommender systems and offers a transdisciplinary approach to tackle important issues related to their development, use and integration into online eco-systems. This volume scrutinizes the values driving automated recommendations - what is important for an individual receiving the recommendation, the company on which that platform was received, and society at large might diverge. The volume addresses concerns about manipulation of individuals and risks for personal autonomy. From a legal perspective, the volume offers a much-needed evaluation of regulatory needs and lawmakers' answers in various legal disciplines. The focus is on European Union measures of platform regulation, consumer protection and anti-discrimination law. The volume will be of particular interest to the community of legal scholars dealing with platform regulation and algorithmic decision making. By including specific use cases, the volume also exposes pitfalls associated with current models of regulation. Beyond the juxtaposition of purely ethical and legal perspectives, the volume contains truly interdisciplinary work on various aspects of recommender systems.
650 0 $a Recommender systems (Information filtering) $x Moral and ethical aspects. $3 3664173
650 0 $a Recommender systems (Information filtering) $x Law and legislation. $3 3664174
650 1 4 $a Ethics of Technology. $3 3596777
700 1 $a Genovesi, Sergio. $3 3664170
700 1 $a Kaesling, Katharina. $3 3629261
700 1 $a Robbins, Scott. $3 3664171
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a International library of ethics, law and technology ; $v v. 40. $3 3664172
856 4 0 $u https://doi.org/10.1007/978-3-031-34804-4
950 $a Religion and Philosophy (SpringerNature-41175)