Zhong-Ren Peng – författare

Symbiotic Planning for Urban Futures: A Paradigm for Human-AI Co-Creation presents a framework for harnessing AI's analytical power while preserving democratic control over urban futures. This book establishes symbiotic planning as a falsifiable paradigm-grounded in five technology-neutral axioms and operationalized through governed friction-where AI acts as governed co-creator across the CORE framework: Collaboration, Options, Refinement, Execution. It clarifies distinct roles: AI synthesizes evidence, generates non-obvious options, and stress-tests plans; planners steward assumptions and translate values into constraints; communities contest and refine constraints; and authorized decision-makers set ends and grant time-bound approvals. Equity is treated as a primary design constraint, with equity floors as binding guardrails.This book serves as essential resource for urban planners, civic technologists, policymakers, researchers, and students committed to democratic urban governance in an algorithmic age. It provides actionable governance tools, including Civic Evidence Dossiers, Authorization Forums, Equity Gates, and a 100-Day Starter Kit, ensuring AI remains transparent, contestable, and subject to renewal. Whether navigating AI procurement, studying algorithmic accountability, or organizing for transparent decision-making, this book empowers readers to make cities more resilient, equitable, and democratically co-governed.Establishes a falsifiable paradigm through three necessary and sufficient conditions: Normative Triggering, Binding Agency, and Time-Bound Primacy, enabling rigorous comparison against conventional planningProvides practical guidance through the CORE framework showing how AI's role shifts from synthesis to option generation, diagnostic interrogation, and monitored execution under planner-in/on-the-loop oversightDemonstrates applications through ten domain-specific Symbiosis Studies and a pattern library addressing wicked urban problems while maintaining equity-by-design, including reversal of burden requiring public justification when exclusion is proposed