Book ID: CBB524320511

The Information Manifold: Why Computers Can't Solve Algorithmic Bias and Fake News (2019)

unapi

Badia, Antonio (Author)


The MIT Press


Publication Date: 2019
Physical Details: 352
Language: English

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.

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Reviewed By

Review Sarah A. Bell (2021) Review of "The Information Manifold: Why Computers Can't Solve Algorithmic Bias and Fake News". Isis: International Review Devoted to the History of Science and Its Cultural Influences (pp. 634-635). unapi

Citation URI
https://data.isiscb.org/isis/citation/CBB524320511/

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Authors & Contributors
Downey, Greg
Hicks, Marie
Peters, Benjamin
Aspray, William F.
Fornes, Jordi
Fosse, Sébastien de la
Journals
IEEE Annals of the History of Computing
Research in Philosophy and Technology
Circumscribere: International Journal for the History of Science
Publishers
Princeton University
MIT Press
Columbia University
CreateSpace Independent Publishing Platform
Lexington Books
Oxford University Press
Concepts
Information technology
Information science
Computers and computing
Information theory
Electronic information resources
Technology and society
People
Dreyfus, Hubert L.
Shannon, Claude Elwood
Snow, Charles Percy
Wiener, Norbert
Time Periods
21st century
20th century, late
20th century
18th century
19th century
Places
United States
Great Britain
India
Soviet Union
Germany
Catalonia (Spain)
Institutions
Universität Stuttgart
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