Cloud Ethics: Algorithms and the Attributes of Ourselves and Others
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 accoun...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Durham
Duke University Press
[2020]
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| Schlagworte: | |
| Online-Zugang: | FAB01 FAW01 FCO01 FHA01 FKE01 FLA01 UBG01 UPA01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Sep 2020) |
| Beschreibung: | 1 online resource (232 pages) |
| ISBN: | 9781478009276 |
| DOI: | 10.1515/9781478009276 |
Internformat
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| 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 | ||
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Datensatz im Suchindex
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| indexdate | 2024-07-10T09:01:10Z |
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| spelling | Amoore, Louise Verfasser aut Cloud Ethics Algorithms and the Attributes of Ourselves and Others Louise Amoore Durham Duke University Press [2020] © 2020 1 online resource (232 pages) txt rdacontent c rdamedia cr rdacarrier Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Sep 2020) 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 In English algorhythmic thinking machine learning SOCIAL SCIENCE / Human Geography bisacsh Algorithms Moral and ethical aspects Cloud computing Moral and ethical aspects Decision making Moral and ethical aspects https://doi.org/10.1515/9781478009276 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Amoore, Louise Cloud Ethics Algorithms and the Attributes of Ourselves and Others algorhythmic thinking machine learning SOCIAL SCIENCE / Human Geography bisacsh Algorithms Moral and ethical aspects Cloud computing Moral and ethical aspects Decision making Moral and ethical aspects |
| title | Cloud Ethics Algorithms and the Attributes of Ourselves and Others |
| title_auth | Cloud Ethics Algorithms and the Attributes of Ourselves and Others |
| title_exact_search | Cloud Ethics Algorithms and the Attributes of Ourselves and Others |
| title_exact_search_txtP | Cloud Ethics Algorithms and the Attributes of Ourselves and Others |
| title_full | Cloud Ethics Algorithms and the Attributes of Ourselves and Others Louise Amoore |
| title_fullStr | Cloud Ethics Algorithms and the Attributes of Ourselves and Others Louise Amoore |
| title_full_unstemmed | Cloud Ethics Algorithms and the Attributes of Ourselves and Others Louise Amoore |
| title_short | Cloud Ethics |
| title_sort | cloud ethics algorithms and the attributes of ourselves and others |
| title_sub | Algorithms and the Attributes of Ourselves and Others |
| topic | algorhythmic thinking machine learning SOCIAL SCIENCE / Human Geography bisacsh Algorithms Moral and ethical aspects Cloud computing Moral and ethical aspects Decision making Moral and ethical aspects |
| topic_facet | algorhythmic thinking machine learning SOCIAL SCIENCE / Human Geography Algorithms Moral and ethical aspects Cloud computing Moral and ethical aspects Decision making Moral and ethical aspects |
| url | https://doi.org/10.1515/9781478009276 |
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