How to stay smart in a smart world /

Doomsday prophets of technology predict that robots will take over the world, leaving humans behind in the dust. Tech industry boosters think replacing people with software might make the world a better place-while tech industry critics warn darkly about surveillance capitalism. Despite their differ...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Gigerenzer, Gerd (Autor)
Otros Autores: Richards, Joel (Narrador)
Formato: Electrónico Audiom
Idioma:Inglés
Publicado: [Old Saybrook, Connecticut] : Tantor Media, Inc., 2022.
Edición:[First edition].
Temas:
Artificial intelligence > Social aspects.
Expert systems (Computer science) > Safety measures.
Expert systems (Computer science) > Risk assessment.
Downloadable audio books.
Audiobooks.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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520 |a Doomsday prophets of technology predict that robots will take over the world, leaving humans behind in the dust. Tech industry boosters think replacing people with software might make the world a better place-while tech industry critics warn darkly about surveillance capitalism. Despite their differing views of the future, they all agree: machines will soon do everything better than humans. How to Stay Smart in a Smart World shows why that's not true, and tells us how we can stay in charge in a world populated by algorithms. Machines powered by artificial intelligence are good at some things (playing chess), but not others (life-and-death decisions, or anything involving uncertainty). Gerd Gigerenzer explains why algorithms often fail at finding us romantic partners (love is not chess), why self-driving cars fall prey to the Russian Tank Fallacy, and how judges and police rely increasingly on nontransparent "black box" algorithms to predict whether a criminal defendant will reoffend or show up in court. He invokes Black Mirror, considers the privacy paradox (people want privacy, but give their data away), and explains that social media get us hooked by programming intermittent reinforcement in the form of the "like" button. We shouldn't trust smart technology unconditionally, Gigerenzer tells us, but we shouldn't fear it unthinkingly, either 
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