The Information Manifold: Why Computers Can't Solve Algorithmic Bias and Fake News (History and Foundations of Information Science)

Badia, Antonio Antonio Badia,

ISBN 10: 0262043033 / ISBN 13: 9780262043038

Editore: The MIT Press, 2019

The Information Manifold: Why Computers Can't Solve Algorithmic Bias and Fake News (History and Foundations of Information Science) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Codice articolo 7719-9780262043038

Riassunto:

An argument that information exists at different levels of analysis—syntactic, semantic, and pragmatic—and an exploration of the implications.

Although this is the Information Age, there is no universal agreement about what information really is. Different disciplines view information differently; engineers, computer scientists, economists, linguists, and philosophers all take varying and apparently disconnected approaches. In this book, Antonio Badia distinguishes four levels of analysis brought to bear on information: syntactic, semantic, pragmatic, and network-based. Badia explains each of these theoretical approaches in turn, discussing, among other topics, theories of Claude Shannon and Andrey Kolomogorov, Fred Dretske's description of information flow, and ideas on receiver impact and informational interactions. Badia argues that all these theories describe the same phenomena from different perspectives, each one narrower than the previous one. The syntactic approach is the more general one, but it fails to specify when information is meaningful to an agent, which is the focus of the semantic and pragmatic approaches. The network-based approach, meanwhile, provides a framework to understand information use among agents.

Badia then explores the consequences of understanding information as existing at several levels. Humans live at the semantic and pragmatic level (and at the network level as a society), computers at the syntactic level. This sheds light on some recent issues, including “fake news” (computers cannot tell whether a statement is true or not, because truth is a semantic notion) and “algorithmic bias” (a pragmatic, not syntactic concern). Humans, not computers, the book argues, have the ability to solve these issues.

Informazioni sull'autore: Antonio Badia is Associate Professor in the Department of Computer Engineering and Computer Science at the University of Louisville's J. B. Speed School of Engineering.

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Titolo: The Information Manifold: Why Computers ...
Casa editrice: The MIT Press
Data di pubblicazione: 2019
Legatura: hardcover
Condizione: Very Good