AI Risk Register Template: A Practical Guide for Australian Businesses

An AI risk register is your organisation’s living record of every material AI risk and its treatment status. It’s not insurance; it’s proof that you’ve thought through what can go wrong, how you’ll reduce it, and who’s responsible. Regulators—Privacy Commissioner, APRA, ASIC—expect to see a register if they audit you. This guide provides the structure, the ten essential fields, worked examples, and guidance on escalation and ISO 42001 alignment.

Why an AI Risk Register Matters

Without a register, risk management is ad-hoc and invisible. With one, it’s systematic, traceable, and defensible. When the OAIC requests evidence of your AI governance, a populated register demonstrates intent and accountability. When a high-risk model fails, a register shows you’ve already identified that risk and had controls in place—or consciously accepted it. Regulators reward diligence; they penalise negligence. A register is your antidote to negligence claims.

The 10 Essential Fields

1. Risk ID: Unique identifier (e.g., AIR-2026-001). Enables tracking and cross-referencing. 2. Risk Description: What is the risk? Be specific: “ChatGPT model produces biased hiring recommendations based on applicant gender” rather than “AI bias risk.” Include context: how does it harm the business? 3. Risk Category: One of: model, data, operational, legal, reputational, or strategic. Helps with portfolio-level analysis. 4. AI System Affected: Which system(s)? Example: “HR recruitment chatbot v2.1.” 5. Likelihood (1–5): Probability of occurrence: 5=almost certain, 4=likely, 3=moderate, 2=unlikely, 1=rare. 6. Impact (1–5): Consequence if it occurs: 5=catastrophic (existential, regulatory action), 4=major (significant loss, reputational damage), 3=moderate (noticeable impact, minor fine), 2=minor (limited scope), 1=negligible.

7. Risk Rating: Likelihood × impact (1–25). Colour code: red (16–25), amber (9–15), green (1–8). 8. Current Controls: What mitigates this risk today? Example: “Weekly model accuracy audits, human review of hiring recommendations, bias testing in QA.” If there are no controls, say so. 9. Owner: Name and role of person accountable for managing this risk. They drive treatment, monitor, and escalate if needed. 10. Review Date: When was this risk last assessed? Schedule the next review (quarterly minimum, more often for red risks). Link to your risk review calendar.

Populating the Register: Common AI Risks in Australian Businesses

Example 1—Data Privacy Risk: Risk ID: AIR-2026-005. Description: “Generative AI model trained on customer personal information without explicit consent, violating Privacy Act 2024.” Category: Legal. AI System: Internal recommendation engine. Likelihood: 4 (we’ve collected data without explicit consent clauses in past). Impact: 5 (Privacy Act breach, OAIC investigation, up to AUD 50M fine, reputational damage). Rating: 20 (red). Controls: “Retraining on anonymised data, updated privacy notices filed, legal review of consent clauses.” Owner: Chief Privacy Officer. Review: June 2026.

Example 2—Model Drift Risk: Risk ID: AIR-2026-012. Description: “Demand forecasting model trained on pre-pandemic data; current inputs have shifted post-COVID, reducing forecast accuracy below acceptable threshold.” Category: Model. AI System: Inventory management model. Likelihood: 4 (observed 8% accuracy drop in Q1 2026). Impact: 3 (forecast errors lead to overstock/understock, margin erosion, supply chain delays). Rating: 12 (amber). Controls: “Monthly retraining with new data, accuracy alerting at >5% drift threshold, manual override for material decisions.” Owner: Head of Analytics. Review: May 2026.

Example 3—Vendor Continuity Risk: Risk ID: AIR-2026-018. Description: “Third-party AI vendor providing customer service chatbot has financial instability signals (negative media, investor withdrawal); if vendor fails, service interrupts.” Category: Operational. AI System: Customer service chatbot (vendor-hosted). Likelihood: 2 (not imminent, but possible). Impact: 4 (customer complaints, SLA breaches, contract penalties). Rating: 8 (green, but monitored). Controls: “Quarterly vendor financial health checks, backup vendor contract in negotiation, fallback to human support if chatbot unavailable.” Owner: Vendor Manager. Review: July 2026.

Integration with ISO 42001

If you’re pursuing ISO 42001 certification (AS ISO/IEC 42001:2023 in Australia), your risk register feeds directly into the standard’s control requirements. ISO 42001 mandates: risk assessment, risk treatment planning, control implementation, and documented improvement. Your register can be part of your ISO 42001 control evidence. Link each risk to its corresponding ISO 42001 control (e.g., AIR-2026-005 to ISO 42001 clause 6.1 Risk Assessment). This alignment streamlines audit preparation and certification pathways.

When to Escalate: Red and Amber Trigger Protocols

Red Risks (Rating 16–25): Escalate to executive leadership within 5 business days. Outline the risk, current controls, and proposed treatment. If the business decides to accept the risk (rather than treat it), document that decision and the business rationale at senior management or board level. Without documented acceptance, regulators assume negligence. Amber Risks (Rating 9–15): Monitor monthly. Escalate if the rating climbs (new information, control failure, threat increases). If amber risks cluster (five or more amber items), that’s a portfolio signal: your overall AI risk posture may be eroding. Green Risks (Rating 1–8): Quarterly review suffices. If a green risk is close to amber (e.g., rating 8), monitor it for drift.

Practical Tips for Maintenance

Store your register in a centralised, searchable location—not a siloed spreadsheet. Use a shared drive, wiki, or risk management tool that your team can access and update. Assign an owner to the register itself (e.g., Compliance Manager) who schedules updates, chases owners for status, and escalates changes. Every quarter, run a refresh meeting: “Any new AI systems? Any new threats? Any control changes?” Update the register live in the meeting so there’s a shared record. Build a rhythm: Risk review on the first Tuesday of every quarter, 90 minutes, with business, technical, and compliance attendees. Make it normal, not burdensome.

Frequently Asked Questions

Q: How many risks should we have in our register?
A: It depends on your AI footprint. A small team with two AI systems might have 8–15 risks. An enterprise with 30+ AI systems might have 80–150. The number matters less than the quality: are the risks material? Are controls documented? Is there accountability? One well-managed risk register with 20 items beats a bloated one with 200 unowned items.

Q: What if we don’t have controls for a red risk?
A: That’s when escalation and decision-making happen. Your senior leadership must either approve the risk explicitly (documented in board minutes) or fund treatment to reduce it. An uncontrolled red risk is a governance failure. Don’t leave it in the register unapproved.

Q: Should the AI risk register be public or confidential?
A: Confidential. It’s sensitive information about your weaknesses and business decisions. Protect it like you would strategic plans. External auditors and regulators may see it; competitors should not.

Q: How does the risk register differ from the risk assessment?
A: Assessment is the process; register is the output. You assess once (or quarterly), then populate the register. The register becomes your operational tool for tracking, monitoring, and reporting on risks over time.

Call to Action

Building and maintaining a risk register is crucial, but time-consuming. If you need a template tailored to your business, help populating your first register, or guidance on escalation protocols, contact Anitech or book a consultation. We’ll help you structure a register that works with your team’s workflows and satisfies Australian regulatory expectations.