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Cloud ethicsalgorithms and the attributes of ourselves and others /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cloud ethicsLouise 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:	AlgorithmsMoral and ethical aspects.
Online resource:	https://www.degruyter.com/isbn/9781478009276
ISBN:	9781478009276$q(ebook)

Cloud ethicsalgorithms 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$q(ebook)

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

959964
Algorithms
--Moral and ethical aspects.

LC Class. No.: QA76.585

Dewey Class. No.: 004.67/82

Cloud ethicsalgorithms and the attributes of ourselves and others /
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100 1 $a Amoore, Louise. $3 959963
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 959964
650 0 $a Cloud computing $x Moral and ethical aspects. $3 959965
650 0 $a Decision making $x Moral and ethical aspects. $3 232662
856 4 0 $u https://www.degruyter.com/isbn/9781478009276