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AI Safety

What is AI Safety?

Research and practices aimed at ensuring AI systems operate safely, reliably, and without causing unintended harm to individuals or society.

AI and Technology

Each of these is named in at least one of the same controls as ai safety. The number is how many controls name both.

What the standards actually require on ai safety

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

Escalate concerns about non-compliance with the policy, AI incidents or broader AI safety issues through the agency's governance and escalation processes.

nsw-ai-operational-policy-2026::5.6.c · 5.6 c Report issues →

Article 6 designates the high-risk machinery categories listed in Annex I that are subject to mandatory third-party conformity assessment (because of the level of risk).

MR-Art.6_7 · High-risk machinery categories and safety components (Articles 6-7 + Annex I) →

FIRST standards pipeline + 2024-2025 roadmap. CURRENT STANDARDS: CSIRT Services Framework v2.1 (2019) + CVSS v4.0 (2023) + TLP v2.0 (2022) + IEP v2.0 + MPCVD Guidelines + PSIRT Services Framework v1.1 (2020).

FIRST-Status-Pipeline · FIRST Standards Pipeline - 2024-2025 Roadmap and Coordination with NIS2, CIRCIA, EU CRA →
ISMAP (Japan)1 control

ISMAP Assessment positions ISMAP within the comprehensive Japanese and international cloud security regulatory landscape. (1) External Assessment by ISMAP-Approved Auditor: CSP must undergo annual third-party assessment by an audit organisation on the ISMAP Pr...

ISMAP-Assessment-ExternalAuditor-AnnualReview-CustomerTransparency-Coord-FedRAMP-IRAP-GCloud-PIPA-ISO27017 · ISMAP Assessment - External ISMAP-Approved Auditor + Annual Review + Customer Information and Transparency + Coordination FedRAMP/UK G-Cloud/Australia IRAP/Singapore MTCS + ISO 27017 + PIPA + Japan Digital Agency →

Prioritise research to mitigate societal, safety and security risks and prioritise investment in effective mitigation measures. Code of Conduct detail: conduct, collaborate on and invest in research that advances AI safety, security and trust, including uphold...

japan-ai-guidelines::HP.VIII · D-VIII. Research and investment in risk mitigation →

Questions people ask about ai safety

What is AI Safety?
Research and practices aimed at ensuring AI systems operate safely, reliably, and without causing unintended harm to individuals or society.
Why is AI Safety important for compliance?
AI Safety is a key concept in AI and Technology. Understanding ai safety 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 Safety?
AI Safety appears in the requirement text of NSW AI Operational Policy (2026), Australia Policy for the Responsible Use of AI in Government (Version 2.0), EU Machinery Regulation (Regulation (EU) 2023/1230), FIRST CSIRT Services Framework and Standards, ISMAP (Japan). Across these standards we have identified 7 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about AI Safety?
Explore our compliance framework pages to see how ai safety 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 Safety 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.