Mistrust issues how technology discourses quantify, extract and legitimize inequalities
Discussing the political understandings of trust and mistrust in the context of data, AI and technology at large, this book defines a process of trustification used by governments, corporations, researchers and the media to legitimise exploitation and the increasing of inequalities
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Bristol
Bristol University Press
2024
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| Schlagworte: | |
| Online-Zugang: | DE-12 DE-634 DE-92 URL des Erstveröffentlichers |
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| Zusammenfassung: | Discussing the political understandings of trust and mistrust in the context of data, AI and technology at large, this book defines a process of trustification used by governments, corporations, researchers and the media to legitimise exploitation and the increasing of inequalities |
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| Beschreibung: | Title from publisher's bibliographic system (viewed on 25 Jan 2024) Front Cover -- Mistrust Issues: How Technology Discourses Quantify, Extract and Legitimize Inequalities -- Copyright information -- Dedication -- Table of Contents -- Aout the Author -- Acknowledgements -- One Introduction: Trust Issues -- Technology and trust -- Trust and power -- Performative trust in technology -- Outline of the book -- Two Trustification: Extracting Legitimacy -- Trusting technology -- Technologizing trust -- Datafication -- Gamification -- Consentification -- Trustification -- Proxy variables -- Three State: Measuring Authority -- Trust, technology and the state -- Trust us, not them -- Not so smart policy -- Colonizing legislation -- Privatization by any other name -- Four Corporate: Managing Risk -- High scores -- Economic narratives and power -- Corporate culture -- Innovation, innovation, innovation -- Five Research: Setting Terms -- Extracting epistemic legitimacy -- Objectifying knowledge -- Performing expertise -- Constituting research agendas -- Six Media: Telling Stories -- Representation escalation -- Systems and content -- Power and discourse -- Seven Case Study: COVID-19 Tracing Apps -- Debates and debacles in the UK -- Global perspectives -- Eight Case Study: Tech for Good -- What good? -- Whose good? -- Nine Case Study: Trusting Faces -- Saving faces -- Performing categories -- Getting emotional -- Ten Conclusion: False Trade-Offs -- References -- Index |
| Beschreibung: | 1 Online-Ressource (viii, 178 Seiten) |
| ISBN: | 9781529230895 |
| DOI: | 10.46692/9781529230895 |