The Inner World of Artificial Intelligence

 1 - Editorial Introduction: The Inner World of Artificial Intelligence, Elham Bahmanteymouri, Mohsen Mohammadzadeh, Fabio Morreale Section 1 - Hidden and Subsumed Humans in Artificial Intelligence 2 - Human Subsumption in Training Datasets for Music Generation, Fabio Morreale 3 - Authorship, Ownership, Authority, Validation, and Creativity through AI, Pablo Lorenzo-Eiroa 4 - Humanness in the Context of Artificial Intelligence: Performative Imaginaries in Popular Science Narratives, Thomas Wahl, Chris Ivory, Christoffer Andersson, Anette Hallin 5 - Reclaiming Agency! Algoactivism beyond Resistance, Francesco Miele Section 2 - Political Economies and Fantasies of AI 6 - AI in the Shadow of Big Other: Planning, Power, and the Locus of Control, Elham Bahmanteymouri 7 - Land for AI: Data Center Real Estate Markets, Dillon Mahmoudi, Alan Wiig 8 Artificial Intelligence and Surveillance in the City: Implications for Urban Governance, Democracy, and Power, Shona Geoghegan, Federico Cugurullo 9 - Can Artificial Intelligence Facilitate Faster Development Assessment? The Case of an Early Adopter Program, Wayne Williamson 10 - AI and the Governance of Risk: Fantasies, Safety, and Situated Futures, Elham Bahmanteymouri, Mohsen Mohammadzadeh Section 3 - AI, Urban Knowledge, and the Repressed Real 11 - Urban Artificial Intelligence and Planning: Symbolic and Imaginary Representations and the Repressed Real, Mohsen Mohammadzadeh 12 From Urban Surveillance to Urban Care: Care-Full Justice in the Age of AI, Udipta Boro, Fran Meissner, Karin Pfeffer 13 - Tackling the Bias Problem at the Design Stage: Empirical Evidence from the CommuniCity Project, Kristina Khutsishivili 14 - Machine Learning-Driven Framework for SDG-Based Impact Assessment of Transport Infrastructure Projects, Mohammed Ali Berawi, Dio Reyhan Fardizsa, Mustika Sari, Bambang Susantono, Suci Indah Susilowati 15 - From Classical Models to Intelligent Systems: AI and Machine Learning in Transportation Planning, Soroush Rashidi

Biography

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.

“The Inner World of AI is an exceptional edited volume on the cultural and spatial dimensions of artificial intelligence. Bahmanteymouri, Mohammadzadeh and Morreale bring together a diverse set of scholars to examine how AI reshapes creativity, power, and human experience, a very important contribution to planning and design scholarship.”

-          Dr Thomas W. Sanchez is a professor of Landscape Architecture and Urban Planning at Texas A&M University.

“AI systems are made of far more than just software like neural networks and hardwarelike data centers. Inside every AI is a complex—and often hidden—web of human labour, social relations, psychic desires, and real estate. This book offers a wide-ranging investigation into the deeper interiority of AI.”

-          Dr Jathan Sadowski is a senior lecturer at Department of Human Centred Computing, Monash University.