Skip to content

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.

Safety (Anzen 安全) is the second of 10 Principles per Japan AI Guidelines for Business + significantly extended by establishment of the Japan AI Safety Institute (AISI 日本AIセーフティ・インスティテュート) on 14 February 2024.

JP-AIG-Safety-Validation-Testing-Robustness-AISI-AI-Safety-Institute-Pre-Deployment-Evaluation-Red-Teaming · Japan AI Guidelines Safety + Validation + Testing + Robustness + AISI AI Safety Institute (14 Feb 2024) + Pre-Deployment Evaluation + Red Teaming + Capability Evaluations + AI Incident Database + Safe Deployment + AI Safety Reports
IEEE 70003 controls

Clauses 8 + 8.1 + 8.2 establish ethical risk management and Clause 10 establishes validation of ethical outcomes. Per public IEEE 7000-2021 abstract + Wikipedia + academic literature (full IEEE text NOT reproduced): ethical risk identification covering: harm t...

IEEE7000-EthicalRisk-Identification-Analysis-Treatment-ValidationOutcomes · IEEE 7000 Clauses 8 + 8.1 + 8.2 - Ethical Risk Identification + Analysis + Treatment + Validation of Ethical Outcomes + AI Safety + Robustness + Adversarial Protection
FISMA2 controls

FISMA coordination with CIRCIA + Zero Trust + Executive Orders + OMB Memoranda. CIRCIA (Cyber Incident Reporting for Critical Infrastructure Act of 2022): Final Rule effective 2026;

FISMA-CIRCIA-ZTA-EO14028 · CIRCIA, Zero Trust Architecture, EO 14028 + 14110 + OMB Memoranda

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 ISMAP-approved audit organisation inc...

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

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 686 frameworks with 311K cross-framework control mappings.
Which compliance frameworks address AI Safety?
AI Safety appears in the requirement text of Japan AI Guidelines, IEEE 7000, FISMA, EU Machinery Regulation (Regulation (EU) 2023/1230), FIRST CSIRT Services Framework and Standards. Across these standards we have identified 14 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 686 frameworks.

See how AI Safety applies across compliance frameworks

Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.

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