Main Cloud Ethics: Algorithms and the Attributes of Ourselves and Others

Cloud Ethics: Algorithms and the Attributes of Ourselves and Others

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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.
Request Code : ZLIB.IO17240575
Categories:
Year:
2022
Publisher:
Duke University Press Books
Language:
English
ISBN 10:
1478008318
ISBN 13:
9781478008316
ISBN:
1478008318, 9781478008316

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