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Cloud ethics = algorithms and the attributes of ourselves and others /
Record Type:
Language materials, printed : 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 ethics
algorithms 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:
1420860
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 /
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algorithms and the attributes of ourselves and others /
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Louise Amoore.
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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.
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https://www.degruyter.com/isbn/9781478009276
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