Daniel Neyland

The Everyday Life of an Algorithm

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Goldsmiths, University of London / Palgrave Pivot / Springer International Publishing / Springer, Be
• Artikelnr. des Verlages: 978-3-030-00577-1
• 1st ed. 2019
• Seitenzahl: 164
• Erscheinungstermin: 3. Januar 2019
• Englisch
• Abmessung: 216mm x 153mm x 14mm
• Gewicht: 340g
• ISBN-13: 9783030005771
• ISBN-10: 3030005771
• Artikelnr.: 53513852

Autorenporträt

Daniel Neyland is Professor of Sociology at Goldsmiths, the University of London, UK. His research engages with issues of governance, accountability and ethics in forms of science, technology and organization. He has published books on privacy and surveillance, organizational ethnography, mundane governance (co-authored with Steve Woolgar) and markets (co-authored with Vera Ehrenstein and Sveta Milyaeva).

Inhaltsangabe

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.