The information manifold : why computers can't solve algorithmic bias and fake news /
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Main Authors: | |
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Published: |
The MIT Press,
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Publisher Address: | Cambridge, Massachusetts : |
Publication Dates: | [2019] |
Literature type: | Book |
Language: | English |
Series: |
History and foundations of information science series
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Subjects: | |
Carrier Form: | xvii, 334 pages : illustrations ; 24 cm. |
Bibliography: | Includes bibliographical references (pages [317]-331) and index. |
ISBN: |
9780262043038 (hardcover : alkaline paper) : 0262043033 (hardcover : alkaline paper) |
Index Number: | Z665 |
CLC: | G20-02 |
Call Number: | G20-02/B136 |
Contents: | Introduction -- Information as codes : Shannon, Kolmogorov and the start of it all -- Information as content : semantics, possible worlds and all that jazz -- Information as pragmatics : impact and consequences -- Information as communication : networks and the phenomenon of emergence -- Will the real information please stand up? -- Computers and information I : what can computers do? -- Computers and information II : machine learning, big data and algorithic bias -- Humans and information -- Conclusions : where from here? |