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This research develops an audit protocol to ensure AI accountability in urban planning consultations.

May 19, 2026Open Access

The Democratic Accelerator Audit Protocol, Version 0.1

LPLuis Hernando Lozano ParedesUniversity of Technology Sydney

Key Points

This research develops an audit protocol to ensure AI accountability in urban planning consultations.
Defines three diagnostic questions and seven design principles for AI governance.
Outlines positive criteria, failure modes, and evidence requirements for auditing.
Designed as a community comment version (Version 0.1) for feedback.
Establishes a framework to assess accountability of AI systems in planning.
Promotes public engagement through clearer governance in AI-mediated consultations.

Abstract

The Democratic Accelerator Audit Protocol is an epistemic governance specification for AI in planning consultation. It sets out three diagnostic questions and seven design principles, each rendered as a positive criterion, a failure mode, and an evidence requirement suitable for an independent audit. The protocol specifies the institutional conditions under which AI-mediated planning consultation can remain accountable to the publics it serves. Companion artefact to Lozano Paredes (forthcoming), 'AI as Democratic Accelerator: Resolving the Paralysis Paradox in Urban Planning'. Version 0.1 is released for community comment.

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