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AI Model Risk

What is AI Model Risk?

The potential for adverse consequences arising from decisions based on AI models that are incorrect, misused, or produce unintended outcomes.

AI and Technology

What the standards actually require on ai model risk

Requirements naming ai model risk across 6 standards, quoted from the control text.

AI risk management serves the organization's needs through an approach that is integrated, structured and comprehensive, looks at the whole system with every technology, function and effect on the environment and stakeholders, and accepts that AI can bring ris...

iso-iec-23894-2023::4 · Principles of AI risk management →

Maintain the O-RAN threat model and risk management per O-RAN Alliance WG11 Security Threat Model and Risk Assessment specifications.

ORANWG11-1 · O-RAN Threat Model, Risk Management, and Security Architecture →

Create and document (a) a risk management framework that addresses the specific characteristics and risks of AI systems; (b) organisation-level risk tolerance and criteria for acceptable and unacceptable risk in developing and deploying AI, including the signi...

australia-guidance-for-ai-adoption-2025::3.1.1 · 3.1.1 Create an AI risk management framework, risk criteria and assessment processes →

The organization’s personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements.

AIRMF-GV-2.2 · The organization's personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements →

Foster a positive risk culture in which open, proactive AI risk management is part of everyday practice, uncertainties and opportunities are discussed openly, staff are encouraged to raise concerns, and processes exist to escalate to the right accountable part...

australia-national-framework-for-the-assurance-of-ai-in-government-2024::8.3 · 8.3 Embed a positive risk culture →

A developer/deployer has an affirmative defense if it discovers and cures a violation through internal testing/red-teaming and is otherwise in compliance with the latest NIST AI Risk Management Framework, ISO/IEC 42001, or another nationally/internationally re...

CO-AIA-1705 · Affirmative Defense and Recognised Frameworks →

Questions people ask about ai model risk

What is AI Model Risk?
The potential for adverse consequences arising from decisions based on AI models that are incorrect, misused, or produce unintended outcomes.
Why is AI Model Risk important for compliance?
AI Model Risk is a key concept in AI and Technology. Understanding ai model risk helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 1,016 frameworks with 316K cross-framework control mappings.
Which compliance frameworks address AI Model Risk?
AI Model Risk appears in the requirement text of ISO/IEC 23894:2023, O-RAN WG11 Security Specification, Australia Guidance for AI Adoption (2025), NIST AI Risk Management Framework (AI RMF 1.0), Australia National Framework for the Assurance of AI in Government (2024). Across these standards we have identified 11 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about AI Model Risk?
Explore our compliance framework pages to see how ai model risk applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 1,016 frameworks.

See how AI Model Risk applies across compliance frameworks

Our platform maps 1,016 frameworks with 316K cross-framework control mappings. Explore how this concept is addressed across standards.

Written and maintained by Gerard Blokdyk, The Art of Service.