ISO/IEC 42001
ISO/IEC 42001 是什么?
ISO/IEC 42001The first international management-system standard for AI, published in December 2023, specifying requirements to establish, implement, maintain, and continually improve an AI Management System (AIMS) for organizations that develop or use AI.
ISO/IEC 42001:2023, 'Information technology — Artificial intelligence — Management system,' is the AI counterpart of ISO/IEC 27001. It defines requirements for an AI Management System (AIMS) covering scope, leadership, planning, support, operation, performance evaluation, and improvement, plus Annex A controls organized into governance, AI policies, internal organization, resources, AI-system lifecycle, data for AI, information for interested parties, use of AI, and third-party relationships. Adoption is driven both by regulators (the EU AI Act references ISO management standards as evidence of conformity for some risk-management obligations) and by enterprise customers asking AI vendors for assurance. Independent certification bodies began offering ISO 42001 certification audits in 2024, and several major AI vendors (Anthropic, AWS AI services) achieved certification through 2024–2025. The standard pairs well with ISO 27001 (for the security of the AIMS), ISO 27701 (privacy), and the NIST AI RMF (a non-prescriptive but compatible companion framework).
● 示例
- 01
An LLM vendor maps its model-evaluation, red-teaming, and incident-response programs to Annex A controls in pursuit of ISO/IEC 42001 certification.
- 02
An enterprise procurement team adds 'ISO/IEC 42001 certification or equivalent attestation' as a contractual requirement for any AI-platform vendor.
● 常见问题
ISO/IEC 42001 是什么?
The first international management-system standard for AI, published in December 2023, specifying requirements to establish, implement, maintain, and continually improve an AI Management System (AIMS) for organizations that develop or use AI. 它属于网络安全的 合规与框架 分类。
ISO/IEC 42001 是什么意思?
The first international management-system standard for AI, published in December 2023, specifying requirements to establish, implement, maintain, and continually improve an AI Management System (AIMS) for organizations that develop or use AI.
ISO/IEC 42001 是如何工作的?
ISO/IEC 42001:2023, 'Information technology — Artificial intelligence — Management system,' is the AI counterpart of ISO/IEC 27001. It defines requirements for an AI Management System (AIMS) covering scope, leadership, planning, support, operation, performance evaluation, and improvement, plus Annex A controls organized into governance, AI policies, internal organization, resources, AI-system lifecycle, data for AI, information for interested parties, use of AI, and third-party relationships. Adoption is driven both by regulators (the EU AI Act references ISO management standards as evidence of conformity for some risk-management obligations) and by enterprise customers asking AI vendors for assurance. Independent certification bodies began offering ISO 42001 certification audits in 2024, and several major AI vendors (Anthropic, AWS AI services) achieved certification through 2024–2025. The standard pairs well with ISO 27001 (for the security of the AIMS), ISO 27701 (privacy), and the NIST AI RMF (a non-prescriptive but compatible companion framework).
如何防御 ISO/IEC 42001?
针对 ISO/IEC 42001 的防御通常结合技术控制与运营实践,详见上方完整定义。
ISO/IEC 42001 还有哪些其他名称?
常见的别称包括: AIMS, AI Management System standard。
● 相关术语
- compliance№ 620
ISO/IEC 27001
信息安全管理体系(ISMS)要求的国际标准,组织可据此通过正式认证。
- ai-security№ 031
AI 治理
组织和监管机构用于确保 AI 系统以负责任、合法方式开发、部署与运营的政策、流程、角色与控制的总和。
- compliance№ 817
NIST AI Risk Management Framework (AI RMF)
NIST's voluntary framework for managing AI risks, published January 2023 (AI RMF 1.0) with a Generative AI Profile released in July 2024, organized around four Functions: Govern, Map, Measure, and Manage.
- compliance№ 433
欧盟人工智能法案
欧盟第 2024/1689 号条例,确立基于风险方法的人工智能统一规则,于 2025 至 2027 年分阶段适用。
- ai-security№ 038
AI 安全(Safety)
致力于防止 AI 系统对用户、运营者及社会造成非预期危害的学科,涵盖技术、运营与社会三个维度。
- ai-security№ 029
AI 物料清单(AIBOM)
对构成 AI 系统的每一项组件——数据集、基础模型、微调数据、依赖库、提示与评估制品——的机读清单,用于安全、合规与问责。