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  3. Sociologi

AI and Common Sense

- Ambitions and Frictions
Engelsk Paperback

AI and Common Sense

- Ambitions and Frictions
Engelsk Paperback
Tjek vores konkurrenters priser

Common sense is the endless frontier in the development of artificial intelligence, but what exactly is common sense, can we replicate it in algorithmic form, and if we can – should we?

Bauer, Schiele and their contributors from a range of disciplines analyse the nature of common sense, and the consequent challenges of incorporating into artificial intelligence models. They look at different ways we might understand common sense and which of these ways are simulated within computer algorithms. These include sensory integration, self-evident truths, rhetorical common places, and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology, Political Science, Media and Culture, Psychology and Computer Science, the contributors lay out key questions, practical challenges and "common sense" concerns underlying the incorporation of common sense within machine learning algorithms for simulating intelligence, socialising robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production.

A valuable resource for students and scholars of Science–Technology–Society Studies, Sociologists, Psychologists, Media and Culture Studies, human–computer interaction with an interest in the post-human, and programmers tackling the contextual questions of machine learning.

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Common sense is the endless frontier in the development of artificial intelligence, but what exactly is common sense, can we replicate it in algorithmic form, and if we can – should we?

Bauer, Schiele and their contributors from a range of disciplines analyse the nature of common sense, and the consequent challenges of incorporating into artificial intelligence models. They look at different ways we might understand common sense and which of these ways are simulated within computer algorithms. These include sensory integration, self-evident truths, rhetorical common places, and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology, Political Science, Media and Culture, Psychology and Computer Science, the contributors lay out key questions, practical challenges and "common sense" concerns underlying the incorporation of common sense within machine learning algorithms for simulating intelligence, socialising robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production.

A valuable resource for students and scholars of Science–Technology–Society Studies, Sociologists, Psychologists, Media and Culture Studies, human–computer interaction with an interest in the post-human, and programmers tackling the contextual questions of machine learning.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 266
ISBN-13: 9781032626178
Indbinding: Paperback
Udgave:
ISBN-10: 1032626178
Kategori: Sociologi
Udg. Dato: 28 jun 2024
Længde: 18mm
Bredde: 155mm
Højde: 233mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 28 jun 2024
Forfatter(e):
Forfatter(e)

Kategori Sociologi

ISBN-13 9781032626178

Sprog Engelsk

Indbinding Paperback

Sider 266

Udgave

Længde 18mm

Bredde 155mm

Højde 233mm

Udg. Dato 28 jun 2024

Oplagsdato 28 jun 2024

Forlag Taylor & Francis Ltd

Kategori sammenhænge