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Artificial Communication

- How Algorithms Produce Social Intelligence
Af: Elena Esposito Engelsk Hardback

Artificial Communication

- How Algorithms Produce Social Intelligence
Af: Elena Esposito Engelsk Hardback
Tjek vores konkurrenters priser
A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication.

Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but in terms of artificial communication.
 
To do this, we need a concept of communication that can take into account the possibility that a communication partner may be not a human being but an algorithm—which is not random and is completely controlled, although not by the processes of the human mind. Esposito investigates this by examining the use of algorithms in different areas of social life. She explores the proliferation of lists (and lists of lists) online, explaining that the web works on the basis of lists to produce further lists; the use of visualization; digital profiling and algorithmic individualization, which personalize a mass medium with playlists and recommendations; and the implications of the “right to be forgotten.” Finally, she considers how photographs today seem to be used to escape the present rather than to preserve a memory.
 



 
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A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication.

Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but in terms of artificial communication.
 
To do this, we need a concept of communication that can take into account the possibility that a communication partner may be not a human being but an algorithm—which is not random and is completely controlled, although not by the processes of the human mind. Esposito investigates this by examining the use of algorithms in different areas of social life. She explores the proliferation of lists (and lists of lists) online, explaining that the web works on the basis of lists to produce further lists; the use of visualization; digital profiling and algorithmic individualization, which personalize a mass medium with playlists and recommendations; and the implications of the “right to be forgotten.” Finally, she considers how photographs today seem to be used to escape the present rather than to preserve a memory.
 



 
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 160
ISBN-13: 9780262046664
Indbinding: Hardback
Udgave:
ISBN-10: 0262046660
Kategori: Kunstig intelligens
Udg. Dato: 24 maj 2022
Længde: 28mm
Bredde: 244mm
Højde: 204mm
Forlag: MIT Press Ltd
Oplagsdato: 24 maj 2022
Forfatter(e): Elena Esposito
Forfatter(e) Elena Esposito

Kategori Kunstig intelligens

ISBN-13 9780262046664

Sprog Engelsk

Indbinding Hardback

Sider 160

Udgave

Længde 28mm

Bredde 244mm

Højde 204mm

Udg. Dato 24 maj 2022

Oplagsdato 24 maj 2022

Forlag MIT Press Ltd

Kategori sammenhænge