Publication:
Cloud Ethics : Algorithms and the Attributes of Ourselves and Others
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Abstract
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.
Description
Authors
Amoore, Louise
Alternate Authors
Advisor
Place of publication
Durham
Publisher
Duke University Press Books
Date
2020
Journal ISSN
Volume Title
Keywords
Algorithms , Cloud computing , Decision making , Ethical aspects
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