Cited AI, Consistency, and Defensibility
Key Points Citations are the foundation of defensible AI in planning. Without direct links to adopted ordinances, plans, and amendments, AI-generated answers cannot be verified, explained, or defended. Consistency is a public obligation, not a technical preference. AI systems that return different answers to the same question undermine equal treatment, public trust, and legal defensibility. […]
Why Generic AI Isn’t Built for Planning
Key Points Generic AI is not constrained to adopted local regulations. Planning requires answers grounded in jurisdiction-specific ordinances and plans. Citations are essential for defensible planning guidance. Without direct links to adopted code sections, AI answers cannot be verified. Planning-grade AI must respect authority boundaries. Explanation and navigation are appropriate; determinations remain with staff. Planning-Grade […]
Preparing Planning Documents for AI and Advanced Digital Tools
Key Points AI performance depends on document quality. Structure, consistency, and governance determine whether AI can return accurate, defensible answers. AI readiness is a document issue, not a technology issue. AI reflects the condition of adopted ordinances, plans, and maps—it does not fix inconsistencies. Strong document practices benefit every digital tool. Search, navigation, transparency, and […]
AI as a Planning Assistant, Not a Decision Maker
Key Points AI belongs in planning as a support tool, not an authority. Its role is to assist with navigation, explanation, and access—not to make determinations or apply discretion. Clear boundaries protect staff, applicants, and institutions. When AI explains adopted regulations without deciding outcomes, it reduces risk while preserving accountability. Planning-grade AI strengthens judgment by […]
AI, Public Records, and Governance: What Cities Should Consider Before Deploying Planning AI
Key Points Governance matters more than capability. AI must operate inside a city’s legal, IT, and records framework. Architecture drives accountability. Data flow, retention, and isolation should be clearly understood before deployment. Authority remains with staff. AI supports research; it does not issue approvals or shift liability. Planning-Grade AI Series This article is part of […]