Anthony Elliott 
Algorithms of Anxiety [EPUB ebook] 
Fear in the Digital Age

Soporte

Machine learning algorithms are widely presumed to herald a world in which the crippling burdens of anxiety can be left behind. The digital revolution promises a brave new world where individuals, communities and organizations can at last take control of the future – anticipating, designing and commanding the future, possibly even with mathematical exactitude. Yet, paradoxically, algorithms have unleashed widespread fears and forebodings about the impact of digital technologies. Whether it’s worries about unemployment, distress about social media’s harmful effects on teenagers, or the fear of intrusive digital surveillance, we live in an age of turbo-charged anxiety where the prophecies of algorithms are increasingly enmeshed with fundamental disruption and anxieties about the future.
In this book, Anthony Elliott examines how machine learning algorithms are not only transforming global institutions but also rewriting our personal lives. He tells this story through a wide-ranging analysis which takes in Chat GPT, Amazon, the Metaverse, Martin Ford, Netflix, Uber, Bernard Stiegler, Squid Game, Kate Crawford, La MDA, Byung-Chul Han, autonomous drones, Jean Baudrillard and the automation of warfare.
Questioning why people often assume that they need to adopt new technologies in order to lead fulfilling lives, Elliott argues that people may be as much entranced as inspired by their outsourcing of personal decision-making to smart machines.

€14.99
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Tabla de materias

1. Algorithmic Ascendency, Ambient Anxiety
2. Automation After Amazon
3. Netflix’s Nihilism
4. The Lethal Ecstasy of Algorithmic Violence
5. The Metastasis of Metaverse
6. Machine Intelligence and Its Discontents
7. On Agency After Smart Machines

Sobre el autor

Anthony Elliott is Bradley Distinguished Professor of Sociology at the University of South Australia.

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Idioma Inglés ● Formato EPUB ● Páginas 304 ● ISBN 9781509555444 ● Tamaño de archivo 0.5 MB ● Editorial Polity ● País GB ● Publicado 2024 ● Edición 1 ● Descargable 24 meses ● Divisa EUR ● ID 9522247 ● Protección de copia Adobe DRM
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