Gouverner par les données ? Pour une sociologie politique du numérique

This book is an invitation to enter the black box of algorithms, not from a technical point of view but from the perspective of political sociology. Does the proliferation of data available online, coupled with the progress of artificial intelligence, impact the way we govern? Can algorithms ‘predic...

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Опубліковано: ENS Éditions 2023
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collection Directory of Open Access Books
description This book is an invitation to enter the black box of algorithms, not from a technical point of view but from the perspective of political sociology. Does the proliferation of data available online, coupled with the progress of artificial intelligence, impact the way we govern? Can algorithms ‘predict’ citizens' behaviour? How are these so-called predictive algorithms made, and by whom? Are they neutral and objective? What are the social, ethical and political issues involved in using data? And what are the commercial and market strategies at work? Can we still protect our data? Behind the processing of data, there are many different visions of the world at work. The point is to consider the algorithm as a political and social object, produced by actors as the result of private and now public commissions as well. These lines of code and complex calculations cannot be dissociated from the conditions of their production: they are embedded in a specific organisational and professional set-up and carried by political intentions and goals. Based on a series of case studies and through the contribution of extensive and unpublished empirical investigations, this volume provides a context for how our data are used and how this may influence governance and decision-making. The strength of this book, at the crossroads with economic sociology, law, political science and computer science, is to lay down the foundations for a political sociology of data and the digital age with the aim of surpassing and deconstructing the myths and beliefs conveyed by big data.
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spelling doab-20.500.12854ir-1009722024-03-29T04:24:09Z Gouverner par les données ? Pour une sociologie politique du numérique Theviot, Anaïs personal data protection governance predictive algorithm myths big data thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology This book is an invitation to enter the black box of algorithms, not from a technical point of view but from the perspective of political sociology. Does the proliferation of data available online, coupled with the progress of artificial intelligence, impact the way we govern? Can algorithms ‘predict’ citizens' behaviour? How are these so-called predictive algorithms made, and by whom? Are they neutral and objective? What are the social, ethical and political issues involved in using data? And what are the commercial and market strategies at work? Can we still protect our data? Behind the processing of data, there are many different visions of the world at work. The point is to consider the algorithm as a political and social object, produced by actors as the result of private and now public commissions as well. These lines of code and complex calculations cannot be dissociated from the conditions of their production: they are embedded in a specific organisational and professional set-up and carried by political intentions and goals. Based on a series of case studies and through the contribution of extensive and unpublished empirical investigations, this volume provides a context for how our data are used and how this may influence governance and decision-making. The strength of this book, at the crossroads with economic sociology, law, political science and computer science, is to lay down the foundations for a political sociology of data and the digital age with the aim of surpassing and deconstructing the myths and beliefs conveyed by big data. 2023-06-26T06:48:38Z 2023-06-26T06:48:38Z 2023 book ONIX_20230626_9791036205989_45 2678-7806 9791036205989 9791036205965 https://directory.doabooks.org/handle/20.500.12854/100972 fre Gouvernement en question(s) image/png n/a https://www.7switch.com/fr/ebook/9791036205989/from/openedition https://books.openedition.org/enseditions/44773 ENS Éditions 10.4000/books.enseditions.44773 This book is an invitation to enter the black box of algorithms, not from a technical point of view but from the perspective of political sociology. Does the proliferation of data available online, coupled with the progress of artificial intelligence, impact the way we govern? Can algorithms ‘predict’ citizens' behaviour? How are these so-called predictive algorithms made, and by whom? Are they neutral and objective? What are the social, ethical and political issues involved in using data? And what are the commercial and market strategies at work? Can we still protect our data? Behind the processing of data, there are many different visions of the world at work. The point is to consider the algorithm as a political and social object, produced by actors as the result of private and now public commissions as well. These lines of code and complex calculations cannot be dissociated from the conditions of their production: they are embedded in a specific organisational and professional set-up and carried by political intentions and goals. Based on a series of case studies and through the contribution of extensive and unpublished empirical investigations, this volume provides a context for how our data are used and how this may influence governance and decision-making. The strength of this book, at the crossroads with economic sociology, law, political science and computer science, is to lay down the foundations for a political sociology of data and the digital age with the aim of surpassing and deconstructing the myths and beliefs conveyed by big data. 10.4000/books.enseditions.44773 2ef10e66-6d3e-4b6d-9799-bf76360dd3e6 9791036205989 9791036205965 288 Lyon open access
spellingShingle personal data protection
governance
predictive algorithm
myths
big data
thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
Gouverner par les données ? Pour une sociologie politique du numérique
title Gouverner par les données ? Pour une sociologie politique du numérique
title_full Gouverner par les données ? Pour une sociologie politique du numérique
title_fullStr Gouverner par les données ? Pour une sociologie politique du numérique
title_full_unstemmed Gouverner par les données ? Pour une sociologie politique du numérique
title_short Gouverner par les données ? Pour une sociologie politique du numérique
title_sort gouverner par les donnees pour une sociologie politique du numerique
topic personal data protection
governance
predictive algorithm
myths
big data
thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
topic_facet personal data protection
governance
predictive algorithm
myths
big data
thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
url ONIX_20230626_9791036205989_45