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The Everyday Life of an Algorithm
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Titel: | The Everyday Life of an Algorithm/ by Daniel Neyland |
Format: | E-Book |
Sprache: | Englisch |
veröffentlicht: |
Cham
Springer International Publishing
2019
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Gesamtaufnahme: |
SpringerLink Springer eBook Collection |
Schlagwörter: | |
Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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520 | |a This open access book begins with an algorithm-a set of IF…THEN rules used in the development of a new, ethical, video surveillance architecture for transport hubs. Readers are invited to follow the algorithm over three years, charting its everyday life. Questions of ethics, transparency, accountability and market value must be grasped by the algorithm in a series of ever more demanding forms of experimentation. Here the algorithm must prove its ability to get a grip on everyday life if it is to become an ordinary feature of the settings where it is being put to work. Through investigating the everyday life of the algorithm, the book opens a conversation with existing social science research that tends to focus on the power and opacity of algorithms. In this book we have unique access to the algorithm’s design, development and testing, but can also bear witness to its fragility and dependency on others | ||
520 | |a 1. Introduction: Everyday life and the algorithm -- 2. Experimentation with a probable human-shaped object -- 3. Accountability and the algorithm -- 4. The deleting machine and its discontents -- 5. Demonstrating the algorithm -- 6. Market value and the everyday life of the algorithm | ||
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contents | This open access book begins with an algorithm-a set of IF…THEN rules used in the development of a new, ethical, video surveillance architecture for transport hubs. Readers are invited to follow the algorithm over three years, charting its everyday life. Questions of ethics, transparency, accountability and market value must be grasped by the algorithm in a series of ever more demanding forms of experimentation. Here the algorithm must prove its ability to get a grip on everyday life if it is to become an ordinary feature of the settings where it is being put to work. Through investigating the everyday life of the algorithm, the book opens a conversation with existing social science research that tends to focus on the power and opacity of algorithms. In this book we have unique access to the algorithm’s design, development and testing, but can also bear witness to its fragility and dependency on others, 1. Introduction: Everyday life and the algorithm -- 2. Experimentation with a probable human-shaped object -- 3. Accountability and the algorithm -- 4. The deleting machine and its discontents -- 5. Demonstrating the algorithm -- 6. Market value and the everyday life of the algorithm |
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spelling | Neyland, Daniel 1973- VerfasserIn (DE-588)173828868 (DE-627)69873176X (DE-576)134668162 aut, The Everyday Life of an Algorithm by Daniel Neyland, Cham Springer International Publishing 2019, Online-Ressource (IX, 151 p. 14 illus., 12 illus. in color, online resource), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, SpringerLink Bücher, Springer eBook Collection, Open Access, This open access book begins with an algorithm-a set of IF…THEN rules used in the development of a new, ethical, video surveillance architecture for transport hubs. Readers are invited to follow the algorithm over three years, charting its everyday life. Questions of ethics, transparency, accountability and market value must be grasped by the algorithm in a series of ever more demanding forms of experimentation. Here the algorithm must prove its ability to get a grip on everyday life if it is to become an ordinary feature of the settings where it is being put to work. Through investigating the everyday life of the algorithm, the book opens a conversation with existing social science research that tends to focus on the power and opacity of algorithms. In this book we have unique access to the algorithm’s design, development and testing, but can also bear witness to its fragility and dependency on others, 1. Introduction: Everyday life and the algorithm -- 2. Experimentation with a probable human-shaped object -- 3. Accountability and the algorithm -- 4. The deleting machine and its discontents -- 5. Demonstrating the algorithm -- 6. Market value and the everyday life of the algorithm, Springer eBook Collection. Social Sciences, Computer science, Data structures (Computer scienc, Science and Technology Studies, Culture, Technology, Mathematical logic., Technology-Sociological aspects, Technology—Sociological aspects, Computers and civilization., Data structures (Computer science)., Science—Social aspects., Information theory., Machine theory., 9783030005771, 9783030005795, Erscheint auch als Druck-Ausgabe 978-3-030-00577-1, Printed edition 9783030005771, Printed edition 9783030005795, http://dx.doi.org/10.1007/978-3-030-00578-8 Resolving-System Volltext, https://doi.org/10.1007/978-3-030-00578-8 X:SPRINGER Verlag kostenfrei Volltext, https://doi.org/10.1007/978-3-030-00578-8 Online-Zugriff DE-15, DE-15 epn:3366771518 2019-01-31T15:25:01Z, https://doi.org/10.1007/978-3-030-00578-8 DE-Ch1, DE-Ch1 epn:3492623581 2019-07-11T09:24:47Z, DE-Zwi2 epn:3366772255 del:202301280133, https://doi.org/10.1007/978-3-030-00578-8 Zum Online-Dokument DE-Zi4, DE-Zi4 epn:4104248606 2023-07-24T09:44:33Z, DE-L189 epn:3366772433 2019-02-01T10:17:29Z, https://doi.org/10.1007/978-3-030-00578-8 LFER, LFER epn:3366773669 2019-02-07T00:00:00Z |
spellingShingle | Neyland, Daniel, The Everyday Life of an Algorithm, This open access book begins with an algorithm-a set of IF…THEN rules used in the development of a new, ethical, video surveillance architecture for transport hubs. Readers are invited to follow the algorithm over three years, charting its everyday life. Questions of ethics, transparency, accountability and market value must be grasped by the algorithm in a series of ever more demanding forms of experimentation. Here the algorithm must prove its ability to get a grip on everyday life if it is to become an ordinary feature of the settings where it is being put to work. Through investigating the everyday life of the algorithm, the book opens a conversation with existing social science research that tends to focus on the power and opacity of algorithms. In this book we have unique access to the algorithm’s design, development and testing, but can also bear witness to its fragility and dependency on others, 1. Introduction: Everyday life and the algorithm -- 2. Experimentation with a probable human-shaped object -- 3. Accountability and the algorithm -- 4. The deleting machine and its discontents -- 5. Demonstrating the algorithm -- 6. Market value and the everyday life of the algorithm, Computer science, Data structures (Computer scienc, Science and Technology Studies, Culture, Technology, Mathematical logic., Technology-Sociological aspects, Technology—Sociological aspects, Computers and civilization., Data structures (Computer science)., Science—Social aspects., Information theory., Machine theory. |
swb_id_str | 516262688 |
title | The Everyday Life of an Algorithm |
title_auth | The Everyday Life of an Algorithm |
title_full | The Everyday Life of an Algorithm by Daniel Neyland |
title_fullStr | The Everyday Life of an Algorithm by Daniel Neyland |
title_full_unstemmed | The Everyday Life of an Algorithm by Daniel Neyland |
title_short | The Everyday Life of an Algorithm |
title_sort | the everyday life of an algorithm |
title_unstemmed | The Everyday Life of an Algorithm |
topic | Computer science, Data structures (Computer scienc, Science and Technology Studies, Culture, Technology, Mathematical logic., Technology-Sociological aspects, Technology—Sociological aspects, Computers and civilization., Data structures (Computer science)., Science—Social aspects., Information theory., Machine theory. |
topic_facet | Computer science, Data structures (Computer scienc, Science and Technology Studies, Culture, Technology, Mathematical logic., Technology-Sociological aspects, Technology—Sociological aspects, Computers and civilization., Data structures (Computer science)., Science—Social aspects., Information theory., Machine theory. |
url | http://dx.doi.org/10.1007/978-3-030-00578-8, https://doi.org/10.1007/978-3-030-00578-8 |
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