ISO/IEC 42001:2023 — AI Management Systems in Practice, Vol. 1: Requirements (Clauses 4–10)
A practicing auditor's field guide to the world's first AI management system standard
- 저자
- Lee Chungon (Mark)
- 펴낸곳
- ISC Press
- ASIN
- B0H98D81B8
한국어판 보기: ISO/IEC 42001:2023 인공지능경영시스템(AIMS) 실무 — 상권: 요구사항 본문편
구매 채널
원하시는 플랫폼에서 구매하실 수 있습니다.
이 책은
이런 분께 권합니다
AI Governance
Standing up AI policy, accountability and risk management
42001 Candidates
Preparing for AIMS certification
27001 Owners
Integrating an AI management system into an existing ISMS
AI / MLOps
Applying controls across the model lifecycle
예제소스·부록 자료실
이 책의 예제소스·부록 실습 자료는 자료실 게시판에서 내려받으실 수 있습니다.
저자 소개
Lee Chungon (Mark) is the founder of ISC (International Standard Certification) and a working lead auditor.
- ISO/IEC 27001 · 27701 · 22301 · 42001 Lead Auditor
- Founded ISC (2017); conducts ISO management-system audits
- Certified ISMS (information security management system) consultant
- Graduate of Hanyang University Graduate School — Computer Science, Offensive Security, and Law
- AI engineer and developer — builds ERP/CRM, LMS, and global e-commerce systems end to end
- Author of the ISC Security Series — practitioner-focused commentaries from onboarding to certification
Written from recurring findings on real certification audits — focused on how to operate the standard, not merely read it.
책만으로 부족하다면, 직접 도와드립니다
ISC.studio는 인증기관이 운영하는 웹·앱 스튜디오입니다. ISO/IEC 27001 인증 취득부터 심사 대응까지 무료 상담을 받아보세요.
Why this book
The first AI management standard, made practical.
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Translated
Requirements to controls
Turns abstract 42001 requirements into concrete policies, procedures and records.
Written by a working auditor
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AI risk
Down to impact assessment
How to document AI-specific risk and impact assessment and wire it into controls.
AI risk & impact practice
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27001 integrated
Alongside security
Layer the AI management system onto ISO 27001 for efficient dual certification.
Integrated mapping
Inside the book
What you get
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Requirements
Clauses 4–10 explained (Vol. 1)
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Annex A controls
AI policy, lifecycle and data controls (Vol. 2)
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Risk & impact
AI risk and impact assessment method
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Operation
Model lifecycle operation and monitoring
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Audit response
AIMS certification and surveillance audits
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Appendices
Control-mapping tables and checklists
