Inner World of Artificial Intelligence

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AI and economic transformation
AI and humans
AI and socioeconomic inequality
AI applications
Ai ethics
AI policy
AI regulation
AI systems
AI tool of neocolonialism
algorithmic governance
Artificial Intelligence
automation and society
Category=PDR
Category=UBJ
Category=UYQ
Development consequences
digital labor relations
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Human subjectivity
Human subsumption
Landscape Design
machine learning bias
Policy resolution
Political discourse
Smart Infrastructure
Smart Transportation
Society of control
socio-technical impacts of AI systems
surveillance capitalism
Traditional industries disruption
urban data ethics
Urban Design
Urban economic development

Product details

  • ISBN 9781032768083
  • Weight: 720g
  • Dimensions: 156 x 234mm
  • Publication Date: 19 Apr 2026
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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The Inner World of Artificial Intelligence, edited by Elham Bahmanteymouri, Mohsen Mohammadzadeh, and Fabio Morreale, offers a critical and interdisciplinary exploration of how artificial intelligence (AI) is reshaping the contemporary world. Bringing together leading and emerging scholars from planning, engineering, economics, philosophy, computer science, and media studies, the book examines the hidden infrastructures, political economies, and spatial imaginaries that underpin AI. It invites readers to look beyond technical narratives, uncovering how AI operates as both a transformative technology and a socio-political force.

Structured around three interconnected sections – Hidden and Subsumed Humans in Artificial Intelligence, Political Economies and Fantasies of AI, and AI, Urban Knowledge, and the Repressed Real – the volume explores how AI functions simultaneously as technology, ideology, and social relation. Contributors reveal how intelligent systems mediate labour, governance, and everyday life, exposing both the promises and contradictions of automation and digitalisation. The book also analyses AI’s entanglements with global urbanisation, environmental change, and shifting power relations across regions, including the Asia-Pacific, Europe, and the Americas.

Offering a critical yet accessible perspective, The Inner World of Artificial Intelligence serves as an invaluable reference for academics, professionals, and policymakers interested in understanding AI’s technical, social, spatial, and ethical implications. It will appeal to readers in planning, economics, political science, engineering, and the social sciences who seek to navigate and shape the complex human–AI relationship in an age of accelerating technological transformation.

The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.

Elham Bahmanteymouri is a Senior Lecturer in Urban Planning at the University of Auckland. Her research focuses on urban critical theories, incomplete markets, housing and spatial inequality, and the implications of digital platforms and AI for planning and governance. Her recent book, Cities and Digital Platforms (Routledge, 2025), extends these inquiries. She also has extensive professional experience in urban and regional planning across public and private sectors.

Mohsen Mohammadzadeh is a Senior Lecturer in Urban Planning at the University of Auckland’s School of Architecture and Planning. He holds academic qualifications in Urban and Regional Planning, Urban Design, and Civil Engineering. His research includes, but is not limited to, planning theory and alternative approaches to planning practice, and examines how AI-enabled planning and urban digitalisation reshape governance, accountability, and equity in our cities. He also investigates societal and governmental readiness for disruptive mobility—including autonomous vehicles, electric vehicles, and shared mobility platforms—across Australasia.

Fabio Morreale is a Staff Research Scientist at Sony AI in Barcelona. In his work, he combines his formal background in Computer Science with Philosophy to critically examine the functionality and philosophical foundations of artificial intelligence, with a particular focus on the ethics and interpretability of generative AI. He previously served as a Senior Lecturer at the University of Auckland.