Cloud ethics[electronic resource] :algorithms and the attributes of ourselves and others
- 作者: Amoore, Louise.
- 出版: Durham : Duke University Press c2020.
- 稽核項: 1 online resource (232 p.).
- 標題: Moral and ethical aspects. , Cloud computing , Algorithms Moral and ethical aspects. , Algorithms , Decision making Moral and ethical aspects. , Cloud computing Moral and ethical aspects. , Decision making
- ISBN: 1478009276 , 9781478009276
- ISBN: 9781478007784 , 9781478008316
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index.
- 摘要: 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.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://www.degruyter.com/isbn/9781478009276
- 系統號: 005331805
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
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.
來源: Google Book
來源: Google Book
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