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        The Everyday Life of an Algorithm

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        Author(s)
        Neyland, Daniel
        Collection
        European Research Council (ERC); EU collection
        Language
        English
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        Abstract
        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.
        URI
        http://library.oapen.org/handle/20.500.12657/22916
        Keywords
        Social sciences; Technology—Sociological aspects; Culture; Technology; Computers and civilization; Data structures (Computer science); Mathematical logic
        DOI
        10.1007/978-3-030-00578-8
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2019
        Grantor
        • FP7 Ideas: European Research Council
        Classification
        Cultural studies
        Sociology
        Digital and information technologies: social and ethical aspects
        Algorithms and data structures
        Mathematical theory of computation
        Pages
        151
        Rights
        https://creativecommons.org/licenses/by/4.0
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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