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The Inner World of Artificial Intelligence.
- Format:
- Book
- Author/Creator:
- Bahmanteymouri, Elham.
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Physical Description:
- 1 online resource (300 pages)
- Edition:
- 1st ed.
- Place of Publication:
- 2026.
- Milton : Taylor & Francis Group, 2026.
- Summary:
- The Inner World of Artificial Intelligence offers a critical and interdisciplinary exploration of how artificial intelligence (AI) is reshaping the contemporary world. The book examines the hidden infrastructures, political economies, and spatial imaginaries that underpin AI.
- Contents:
- Cover
- Endosement
- Half Title
- Title
- Copyright
- Contents
- Contributors' Bios
- 1 Editorial Introduction: The Inner World of Artificial Intelligence
- Section 1 Hidden and Subsumed Humans in Artificial Intelligence
- 2 Human Subsumption in Training Datasets for Music Generation
- 3 Authorship, Ownership, Authority, Validation, and Creativity through AI
- 4 Humanness in the Context of Artificial Intelligence: Performative Imaginaries in Popular Science Narratives
- 5 Reclaiming Agency! Algoactivism beyond Resistance
- Section 2 Political Economies and Fantasies of AI
- 6 AI in the Shadow of Big Other: Planning, Power, and the Locus of Control
- 7 Land for AI: Data Center Real Estate Markets
- 8 Artificial Intelligence and Surveillance in the City: Implications for Urban Governance, Democracy, and Power
- 9 Can Artificial Intelligence Facilitate Faster Development Assessment? The Case of an Early Adopter Programme
- 10 AI and the Governance of Risk: Fantasies, Safety, and Situated Futures
- Section 3 AI, Urban Knowledge, and the Repressed Real
- 11 Urban Artificial Intelligence and Planning: Symbolic and Imaginary Representations and the Repressed Real
- 12 From Urban Surveillance to Urban Care: Care-Full Justice in the Age of AI
- 13 Tackling the Bias Problem at the Design Stage: Empirical Evidence from the CommuniCity Project
- 14 Machine Learning-Driven Framework for SDG-Based Impact Assessment of Transport Infrastructure Projects
- 15 From Classical Models to Intelligent Systems: AI and Machine Learning in Transportation Planning
- Index.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-04-051288-7
- 1-04-064016-8
- 1-003-48016-0
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