Self-Audit Mode: A Constraint-Bound, Non-Interventional Dialogic Framework for AI-Mediated Self-Reflection This deposit presents Self-Audit Mode, a formally specified, constraint-bound interaction framework for AI-mediated self-reflection that is explicitly non-diagnostic, non-therapeutic, and non-interventional. Self-Audit Mode addresses an emerging gap in contemporary conversational AI systems: the absence of clearly bounded interaction modes that support reflective dialogue without interpretation, guidance, optimization, or authority creep. While many systems implicitly conflate reflection with intervention—through reframing, reassurance, or action-oriented responses—this framework formalizes restraint as a first-class design principle. Definition of Non-Interventional Posture Within this framework, non-interventional is defined precisely. Self-Audit Mode does not: Interpret or explain the meaning of user statements Suggest courses of action or coping strategies Reframe user language toward assumed healthier or preferred interpretations Embed implicit behavioral, emotional, or wellbeing goals The system remains structurally responsive—capable of asking bounded questions and reflecting conversational structure—while exerting no directional influence over meaning, judgment, or action. Positioning and Related Work Self-Audit Mode is situated within existing conversations on constraint-based and ethics-aware AI design. It is intended to be read alongside prior work including: Constitutional AI (Anthropic), as an example of explicit constraint specification at the system level Participatory and value-aware prompting approaches (e.g., Luccioni et al.), emphasizing governance and user-centered design Value-Sensitive Design literature (e.g., Friedman & Hendry), particularly with respect to autonomy preservation and ethical transparency This framework does not extend these approaches; it contributes a focused reference model for non-interventional dialogic interaction. Institutional Use Case Illustration An ethics review board evaluating a reflective or wellbeing-adjacent chatbot could use Self-Audit Mode specifications to assess whether the system inappropriately assumes diagnostic authority, conflates reflection with guidance, or fails to preserve user autonomy in ambiguous or emotionally salient interactions. Contents of the Deposit The package consists of six authoritative documents: Core Conceptual ArchitectureDefines purpose, scope, system role, posture, and hard boundaries. Questioning Logic TaxonomySpecifies permitted question classes (placement, contrast, deferral), trigger conditions, global constraints, and forbidden question types. Safety Boundaries and Ethical PostureEstablishes non-diagnostic and non-interventional constraints, absence of crisis escalation logic, autonomy preservation, and privacy-first memory rules. Interaction Protocol (Prompted Mode Specification)Describes invocation requirements, session lifecycle, memory classes, refusal logic, and termination conditions, making the framework implementable without code. Explicit Non-GoalsEnumerates foundational exclusions (e.g., not therapy, not coaching, not mental health evaluation, not behavior modification, not data collection). Context and RationaleSituates the framework within current AI governance, interaction ethics, and safety discourse. Implementation Guidance Self-Audit Mode is implementable as a prompt-level constraint and interaction protocol within existing conversational AI systems. No proprietary technology is required. The framework can be tested using current large language model APIs with appropriate role and refusal constraints, without model retraining. Versioning and Maintenance This deposit constitutes Self-Audit Mode, Version 1.0 (February 2026). Future revisions may incorporate feedback from governance, ethics, or research communities while preserving the core non-interventional constraints defined herein. Contact and attribution information are provided in the deposit metadata. Intended Audience and Scope Self-Audit Mode is intended for institutional and research audiences, including: AI governance and safety researchers Human–Computer Interaction (HCI) and interaction ethics scholars Qualitative methods researchers Platform safety and policy teams Regulatory auditors Institutional review boards and ethics committees It is offered as a reference interaction model and audit framework, not as a user-facing application or wellbeing system. No empirical claims, outcome guarantees, or clinical assertions are made. The contribution of this work is the explicit specification of a non-interventional conversational posture, suitable for citation, review, and comparative analysis in contexts where restraint, autonomy preservation, and ethical clarity are primary concerns. Keywords AI ethics conversational AI design non-interventional interaction AI governance frameworks restraint-based design autonomy preservation interaction ethics Suggested Communities AI Safety Human-Computer Interaction Research Ethics License: Copeland Resonant Harmonic Formalism (CRHC v1.0) This work is licensed under the Copeland Resonant Harmonic Copyright (CRHC v1.0). Attribution is required for all uses. Collaboration, academic discussion, and non-commercial use are permitted. Commercial use, resale, or incorporation into proprietary systems is not permitted without explicit written permission from the author. Derivative works must preserve attribution and must not remove or alter the stated license terms.