東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Cloud ethics = algorithms and the attributes of ourselves and others /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cloud ethics/ Louise Amoore.
Reminder of title:	algorithms and the attributes of ourselves and others /
Author:	Amoore, Louise.
Published:	Durham :Duke University Press, : c2020.,
Description:	1 online resource (232 p.)
Subject:	Algorithms - Moral and ethical aspects. -
Online resource:	https://www.degruyter.com/isbn/9781478009276
ISBN:	9781478009276

Cloud ethics = algorithms and the attributes of ourselves and others /
Amoore, Louise.

Cloud ethicsalgorithms and the attributes of ourselves and others /[electronic resource] :Louise Amoore. - Durham :Duke University Press,c2020. - 1 online resource (232 p.)

Includes bibliographical references and index.

In Cloud Ethics Louise Amoore examines how machine learning algorithms are transforming the ethics and politics of contemporary society. Conceptualizing algorithms as ethicopolitical entities that are entangled with the data attributes of people, Amoore outlines how algorithms give incomplete accounts of themselves, learn through relationships with human practices, and exist in the world in ways that exceed their source code. In these ways, algorithms and their relations to people cannot be understood by simply examining their code, nor can ethics be encoded into algorithms. Instead, Amoore locates the ethical responsibility of algorithms in the conditions of partiality and opacity that haunt both human and algorithmic decisions. To this end, she proposes what she calls cloud ethics-an approach to holding algorithms accountable by engaging with the social and technical conditions under which they emerge and operate.

ISBN: 9781478009276

Standard No.: 10.1515/9781478009276doiSubjects--Topical Terms:

3674155
Algorithms
--Moral and ethical aspects.

LC Class. No.: QA76.585

Dewey Class. No.: 004.67/82

Cloud ethics = algorithms and the attributes of ourselves and others /
LDR:01822cmm a2200277 a 4500 001 2338338
003 DE-B1597
005 20220302035458.0
006 m o d
007 cr cnu---unuuu
008 240605s2020 ncu ob 001 0 eng d
020 $a 9781478009276 $q (ebook)
020 $z 9781478007784 $q (hbk.)
020 $z 9781478008316 $q (pbk.)
024 7 $a 10.1515/9781478009276 $2 doi
035 $a 9781478009276
040 $a DE-B1597 $b eng $c DE-B1597
041 0 $a eng
050 0 0 $a QA76.585
082 0 4 $a 004.67/82 $2 23
100 1 $a Amoore, Louise. $3 753058
245 1 0 $a Cloud ethics $h [electronic resource] : $b algorithms and the attributes of ourselves and others / $c Louise Amoore.
260 $a Durham : $b Duke University Press, $c c2020.
300 $a 1 online resource (232 p.)
504 $a Includes bibliographical references and index.
520 $a In Cloud Ethics Louise Amoore examines how machine learning algorithms are transforming the ethics and politics of contemporary society. Conceptualizing algorithms as ethicopolitical entities that are entangled with the data attributes of people, Amoore outlines how algorithms give incomplete accounts of themselves, learn through relationships with human practices, and exist in the world in ways that exceed their source code. In these ways, algorithms and their relations to people cannot be understood by simply examining their code, nor can ethics be encoded into algorithms. Instead, Amoore locates the ethical responsibility of algorithms in the conditions of partiality and opacity that haunt both human and algorithmic decisions. To this end, she proposes what she calls cloud ethics-an approach to holding algorithms accountable by engaging with the social and technical conditions under which they emerge and operate.
588 $a Description based on print version record.
650 0 $a Algorithms $x Moral and ethical aspects. $3 3674155
650 0 $a Cloud computing $x Moral and ethical aspects. $3 3674156
650 0 $a Decision making $x Moral and ethical aspects. $3 604319
856 4 0 $u https://www.degruyter.com/isbn/9781478009276