Artificial Intelligence, Explainability, and Power | Historical Foundations, Technical Paradigms, and Ethical Challenges for the 21st Century. This item is unavailable.
Language: English
Published by Our Knowledge Publishing, 2026
- Softcover
- New

Unavailable
Softcover
Condition: New
US$ 64.69
Item description from seller
Artificial Intelligence, Explainability, and Power | Historical Foundations, Technical Paradigms, and Ethical Challenges for the 21st Century | Nancy Elizabeth Pruneda Avila (u. a.) | Taschenbuch | Englisch | 2026 | Our Knowledge Publishing | EAN 9786630209020 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
Seller Inventory # 135937702
- Title
- Artificial Intelligence, Explainability, and Power | Historical Foundations, Technical Paradigms, and Ethical Challenges for the 21st Century
- Author
- Nancy Elizabeth Pruneda Avila (u. a.)
- Publisher
- Our Knowledge Publishing
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 6630209028
- ISBN 13
- 9786630209020
- Item weight
- 203 grams
- Dimensions
- 220 x 150 x 8 mm
- Seller catalogs
- Bücher
This book is based on an academic conviction: artificial intelligence cannot be studied solely as a technology. Reducing it to a tool amounts to ignoring the historical, epistemological, political, and moral conditions that make its development possible. AI does not arise in a vacuum; it is the result of an intellectual genealogy where mathematical logic, cybernetics, cognitive psychology, computer science, statistics, data engineering, neuroscience, the philosophy of language, and the political economy of information converge. Therefore, understanding AI requires reconstructing its history, distinguishing its technical paradigms, analyzing its social effects, and discussing the ethical frameworks that should guide its use.Ever since Alan Turing's opening question-posed in 1950 in the article "Computing Machinery and Intelligence"-the problem of artificial intelligence has been linked to a fundamental tension: should intelligence be understood as an internal quality of the mind or as an observable capacity to produce functionally intelligent responses?
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