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This book explores in theory and practice how artificial intelligence (AI) intersects with and alters the city. Drawing upon a range of urban disciplines and case studies, the chapters reveal the multitude of repercussions that AI is having on urban society, urban infrastructure, urban governance, urban planning and urban sustainability.
List of contents
Chapter 1: Introducing AI into Urban Studies
Section 1 - Autonomous Vehicles and Mobility Chapter 2: Reinforcing and Refracting Automobility: Urban Experimentation with Autonomous Vehicles Chapter 3: Trials and Tribulations: Who Learns What from Urban Experiments with Self-driving Vehicles? Chapter 4: Autonomous Lorries, Artificial Intelligence and Urban (Freight) Mobilities Chapter 5: An Urbanistic Take on Autonomous Vehicles Chapter 6: A Roadmap for the Sustainable Deployment of Autonomous Vehicles: Superblocks Driving Cars out of Neighbourhoods
Section 2 - Urban Robots and Robotic Spaces Chapter 7: Regulating and Making Space for the Expanded Field of Urban RoboticsChapter 8: Everyday Droning: Uneven Experiences of Drone-enabled AI Urbanism Chapter 9: Exploring Temporal Pleats and Folds: the Role of Urban AI and Robotics in Reinvigorating the Cyborg City Chapter 10: Robots in AI Urbanism Chapter 11: Airport Robots: Automation, Everyday Life and the Futures of Urbanism
Section 3 - City Brains and Urban Platforms Chapter 12: Ambient Commons? Valuing Urban Public Spaces in an Era of AI-Enabled Ambient Computing Chapter 13: Encountering Limits in Cooperative Platforms: the More-Than-Technical Labour of Urban AI Chapter 14: Performed Imaginaries of the AI-Controlled City: Conducting Urban AI Experimentation in China Chapter 15: Optimizing the Immeasurable: on the Techno-Ethical Limits of Predictive Policing Chapter 16: Chinese Artificial Intelligence Governance Platforms 2.0: the Belt and Road Edition
Section 4 - Urban Software Agents and Algorithms Chapter 17: Perceptions of Intelligence in Urban AI and the Contingent Logics of Real Estate Estimate Algorithms Chapter 18: Caring is Connecting: AI Digital Assistants and the Surveillance of Elderly and Disabled Family Members in the Home Chapter 19: AI Doctors or AI for Doctors? Augmenting Urban Healthcare Services Through Artificial Intelligence Chapter 20: Algorithms and Racial Discrimination in the U.S. Housing Market Chapter 21: Architectural AI: Urban Artificial Intelligence in Architecture and Design Chapter 22: Conclusions: The Present of Urban AI and the Future of Cities
About the author
Federico Cugurullo is Assistant Professor in Smart and Sustainable Urbanism at Trinity College Dublin.
Federico Caprotti is Professor of Human Geography at the University of Exeter, UK..
Matthew Cook is Professor of Innovation at the Open University, UK.
Andrew Karvonenis Professor of Urban Design and Planning at Lund University, Sweden.
Pauline McGuirk is Senior Professor in Urban Geography at the University of Wollongong, Australia.
Simon Marvin is Professor of Urban Geography at the University of Sheffield's Urban Institute, UK.
Summary
This book explores in theory and practice how artificial intelligence (AI) intersects with and alters the city. Drawing upon a range of urban disciplines and case studies, the chapters reveal the multitude of repercussions that AI is having on urban society, urban infrastructure, urban governance, urban planning and urban sustainability.
