AI Governance Policy

Accountability‑First Model for Safe AI Deployment

**By Andrew Kingdom

Version 1.2

2026‑03‑23

Public Draft**

Description

A plain‑language governance model for AI systems that enforces real accountability, not just stated responsibility. Designed for leaders, policymakers, and organizations deploying AI at scale, with a focus on limiting harm, exposing risk, and ensuring decisions remain traceable to individuals.

Policy Definition:
A policy is a clearly stated guide for decision-making and behavior; it is not a technical procedure or detailed instruction, but a signpost showing how we are expected to act responsibly and accountably.

Executive Summary

Core Rule No AI system is released unless it has survived independent challenge. Builders cannot approve their own systems.

Structure (who holds power)

Builders → create systems and must disclose limits and failures
Risk & Integrity Unit → tests, challenges, and can block release
External Oversight → audits and publishes findings
Executives → make final decisions and accept accountability

Mandatory Gates (no bypass)

Capability
Failure
Harm
Independent Review
Monitoring

Accountability (named, not shared)

Builders → undisclosed or hidden risks
Risk & Integrity Unit → inadequate or weak testing
Executives → knowingly accepted risks that resulted in harm

Final Principle If we cannot clearly explain a system’s limits, we do not release it.

Full AI Governance Policy (Plain Language Version)

Purpose: prevent scaled harm from systems we do not fully understand

1. Scope

This policy applies to any AI system that:

is used in production and directly interfaces with users, or
is used to make or inform an operational, financial, or customer‑facing decision.

No system is exempt based on size, novelty, or commercial pressure.

2. Core Requirement

No AI system may be deployed unless it has been independently tested and its limits are clearly understood and documented. This process may not be bypassed for reasons of urgency, competition, or commercial pressure.

The team that builds a system cannot be the final authority on releasing it.

3. Roles and Authority

3.1 Builders (Product & Engineering)

Builders must:

Describe what the system does and does not do
Identify where it fails, misleads, or can be misused
Provide evidence from testing, not assumptions

They must not:

Hide known issues
Overstate capability

Accountability: If known, material risks are hidden or misrepresented, the approving executives are accountable for releasing a system without adequate disclosure. Builders who proactively escalate risks in good faith are protected from retaliation.

3.2 Risk & Integrity Unit (Independent Internal Team)

This team must:

Test systems under realistic and adverse conditions
Challenge assumptions and claims
Document risks clearly

They have authority to:

Delay or block release

Independence & Resources: The unit reports directly to the board (or equivalent governing body), maintains a budget separate from product lines, and has authority to hire its own technical and legal expertise. The unit’s performance reviews and compensation must not be tied to the release schedule or commercial success of the products they audit. Members may not report into product, engineering, or revenue‑generating functions.

Accountability: If they approve a system without adequate testing or ignore clear risks, they share responsibility for resulting harm.

3.3 External Oversight (Independent Review)

For high‑impact systems—those affecting physical safety, fundamental rights (housing, employment, criminal justice, finance), or more than one million users—external review is required.

External review must occur prior to deployment, not after release. Findings, including disagreements, must be published.

Accountability: If oversight is compromised or withheld, the issue must be disclosed and the body replaced.

3.4 Executive Decision‑Makers

Executives must:

Review a one‑page Executive Risk Summary prepared by the Risk & Integrity Unit, which distills the top 3–5 risks, their potential impact, and the rationale for acceptance
Confirm in writing that they understand and accept those risks

They must not:

Claim lack of awareness after approval
Override risk findings without justification

Overriding a Risk & Integrity Block: If the unit blocks release, an override requires unanimous approval from a cross‑functional committee (e.g., CEO, Chief Risk Officer, board member) and triggers an automatic external audit. The override and its justification must be disclosed publicly before deployment.

Accountability: If harm occurs from known risks, executives are personally accountable and may be subject to internal and external consequences.

4. Required Release Process

4.1 Capability Statement

Clear description of:

what the system can do
what it appears to do but cannot reliably do
whether the system requires human verification or operates autonomously, and the protocol for emergency deactivation

4.2 Failure and Misuse Report

Document:

known failure modes
likely misuse scenarios
conditions where outputs may mislead
known biases, gaps, or legal risks (e.g., copyright or privacy concerns) in the underlying training data

4.3 Harm Testing

Must include:

realistic user scenarios
attempts to misuse or break the system
evaluation of real‑world impact

4.4 Independent Review

Risk & Integrity Unit must:

verify testing
confirm risks are disclosed

High‑impact systems must also undergo external review.

4.5 Deployment Controls

Systems must include:

usage limits where needed
monitoring for errors and misuse
ability to pause or roll back quickly

4.6 Controlled Deployment (Optional Path)

For systems where real‑world learning is necessary before full release, a Controlled Deployment may be authorized. This requires:

All previous gates (4.1–4.5) satisfied
A defined, limited user group
Enhanced monitoring and a mandatory pause clause
An explicit time limit or conditions for moving to full deployment

Controlled deployments are not a bypass; they are a strictly supervised way to gather live data under controlled conditions.

5. Post‑Deployment Requirements

After release:

Monitor for errors, misuse, and over‑reliance
Escalate significant issues to the Risk & Integrity Unit and Executives within 72 hours
Disclose major failures publicly within the same timeframe

6. Records and Transparency

Record all major decisions, including:

risks identified
objections raised
approvals made

Records must be:

time‑stamped
preserved without alteration

7. Independent Appeals Mechanism

Any Builder or external party may appeal a decision made under this policy—such as a block, an override, or a finding of non‑compliance—to the External Oversight body or a designated board committee. Appeals must be acknowledged within 15 days and resolved within a reasonable timeframe. Retaliation against an appellant is prohibited.

8. Reporting and Protection

Provide clear reporting channels:

internal
external (for serious concerns)

Retaliation against reporting is prohibited and penalized.

9. Enforcement

Violations include:

hiding or minimizing risks
bypassing required steps
misrepresenting capability

Consequences may include:

removal from role
financial penalties
external reporting to authorities

Disciplinary measures are applied progressively to encourage learning and improvement. Progressive discipline does not apply in cases of intentional concealment or fraud.

10. Guiding Principle

If we do not understand a system well enough to explain its limits clearly, we do not release it. If harm appears, we act immediately—not after justification or delay.

Version History

v1.0 (2026‑03‑23) – Initial release
v1.2 (2026‑03‑23) – Amendments following two rounds of review by 4 x AIs: refined scope, strengthened override process, defined high‑impact systems, added controlled deployment path, specified monitoring escalation timeframe, established independent appeals mechanism, formalized executive risk summary, and clarified unit independence.

Intended Use

This document may be:

adopted directly by organizations
adapted into internal policy or regulatory frameworks
used as a baseline for AI governance discussions

Authorship & Accountability

Authored and published by:

Andrew Kingdom

The author accepts responsibility for the ideas and structure presented herein. Organizations adopting this policy retain full responsibility for its implementation and outcomes.

License

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy of this document to use, copy, modify, and distribute it, subject to the following condition:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the document.

THE DOCUMENT IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT.

Attribution

If you use or adapt this policy, attribution is appreciated:

“Based on AI Governance Policy by Andrew Kingdom”

Notes

This document intentionally uses plain language to prevent ambiguity.
It is designed to make accountability visible and enforceable.
It assumes human judgment is fallible and structures must compensate for that.

Feedback

Issues and discussion can be raised via GitHub Issues in this repository.