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Artificial Communication: How Algorithms Produce Social Intelligence

AUTHOR Esposito, Elena; Esposito, Elena
PUBLISHER MIT Press (05/24/2022)
PRODUCT TYPE Hardcover (Hardcover)

Description
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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Product Format
Product Details
ISBN-13: 9780262046664
ISBN-10: 0262046660
Binding: Hardback or Cased Book (Sewn)
Content Language: English
More Product Details
Page Count: 200
Carton Quantity: 26
Product Dimensions: 6.10 x 1.00 x 9.10 inches
Weight: 1.01 pound(s)
Feature Codes: Bibliography, Index, Price on Product, Illustrated
Country of Origin: US
Subject Information
BISAC Categories
Computers | Information Technology
Computers | Media Studies
Computers | Artificial Intelligence - General
Dewey Decimal: 303.483
Library of Congress Control Number: 2021013271
Descriptions, Reviews, Etc.
publisher marketing
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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Hardcover