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AI and Assembly : Coming Together and Apart in a Datafied World



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Titolo: AI and Assembly : Coming Together and Apart in a Datafied World Visualizza cluster
Pubblicazione: Redwood City : , : Stanford University Press, , 2025
©2025
Edizione: 1st ed.
Descrizione fisica: 1 online resource (220 pages)
Disciplina: 343.0999
Soggetto topico: Artificial intelligence - Law and legislation
Altri autori: BernholzLucy  
Nota di contenuto: Front Cover -- Advance praise for AI and Assembly -- Half title -- Title Page -- Copyright -- Contents -- List of Tables and Figures -- Prologue: In Our Defense -- One: Introduction -- Two: Illusions of Agency? -- Three: Algorithmic Violence -- Four: From Threat to Advocacy -- Five: Machine-Made -- Six: A Tale of Two Audits -- Seven: Thinking Alternately, from Elsewhere -- Acknowledgments -- About the Contributors -- Index -- Back Cover.
Sommario/riassunto: Artificial intelligence has moved from the lab into everyday life, and is now seemingly everywhere. Arguably, there are as many foci of concern about AI as there are implementations of it. AI and Assembly invites readers to explore a fundamental, and overlooked, issue: the interaction between artificial intelligence and freedom of assembly. This freedom is core to collective action, civil society, and liberal democracy. Now, as sensors collect, analyze, and make data-driven decisions about us when we are using screens and when we are not, when we are inside our homes and outside in public, when we are in transit or asleep, when we're alone and when we're together, we must address AI's impact on assembly. Where and how does assembly take place, why, and who participates by choice and who by coercion? From audits of Facebook's algorithms to campaigns against facial recognition, from secretive technological experiments to rideshare drivers advocating for fair pay, AI and Assembly provides a unique view and global perspectives on the future of assembly in a world taken over by AI, as well as envisions of a more just digital future.
Titolo autorizzato: AI and Assembly  Visualizza cluster
ISBN: 1-5036-4276-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911021675203321
Lo trovi qui: Univ. Federico II
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