Standards Comparison

    ISO 19600

    Voluntary
    2014

    Guidelines for compliance management systems

    VS

    ISO/IEC 42001:2023

    Voluntary
    2023

    International standard for artificial intelligence management systems.

    Quick Verdict

    ISO 19600 offers guidelines for general compliance systems, now withdrawn for ISO 37301, while ISO/IEC 42001:2023 provides certifiable AI management requirements. Companies adopt ISO 19600 concepts for foundational CMS and ISO/IEC 42001 for ethical AI governance and certification.

    Compliance Management

    ISO 19600

    ISO 19600:2014 Compliance management systems — Guidelines

    Cost
    €€€
    Complexity
    Medium
    Implementation Time
    6-12 months

    Key Features

    • Risk-based approach to compliance prioritization
    • Flexible guidelines scalable for all organizations
    • PDCA continual improvement management model
    • Strong emphasis on leadership governance principles
    • Integration with existing management systems
    AI Management

    ISO/IEC 42001:2023

    ISO/IEC 42001:2023 Artificial Intelligence Management Systems

    Cost
    €€€€
    Complexity
    High
    Implementation Time
    6-12 months

    Key Features

    • PDCA-based framework with HLS for MSS integration
    • Mandatory AI Impact Assessments for high-risk systems
    • Annex A: 38 AI-specific controls for lifecycle risks
    • Third-party risk management and supply chain controls
    • Continuous monitoring and model drift metrics

    Detailed Analysis

    A comprehensive look at the specific requirements, scope, and impact of each standard.

    ISO 19600 Details

    What It Is

    ISO 19600:2014 provides guidelines for establishing, implementing, and improving Compliance Management Systems (CMS). It offers a risk-based, flexible approach applicable to all organizations, emphasizing proportionality, good governance, transparency, and sustainability. Superseded by ISO 37301:2021, it uses a PDCA cycle aligned with Annex SL structure.

    Key Components

    • Core clauses: context, leadership, planning, support, operation, performance evaluation, improvement.
    • Principles: governance, independence of compliance function, risk assessment per ISO 31000.
    • No fixed controls; scalable guidance, non-certifiable.

    Why Organizations Use It

    • Mitigates regulatory fines, operational disruptions, reputation risks.
    • Enables strategic decision-making, efficiency, market access.
    • Builds trust, integrates with QMS/ERM; voluntary adoption for best practices.

    Implementation Overview

    • Phased: gap analysis, design, deploy, monitor, improve.
    • Scalable for SMEs (6-12 months) to MNCs (12-36 months).
    • All sizes/sectors; no certification, focuses on internal benchmarking.

    ISO/IEC 42001:2023 Details

    What It Is

    ISO/IEC 42001:2023 is the world's first international standard for Artificial Intelligence Management Systems (AIMS), specifying requirements to establish, implement, maintain, and improve responsible AI governance. Applicable to any organization—developers, providers, users—it uses a risk-based Plan-Do-Check-Act (PDCA) methodology and High-Level Structure (HLS) to manage AI lifecycle risks like bias, transparency, and ethics.

    Key Components

    Core elements span Clauses 4-10: context analysis, leadership commitment, risk planning with AI Impact Assessments (AIIAs), support resources, operational controls, performance evaluation, and improvement. Annex A provides 38 AI-specific controls across 10 themes (e.g., data governance, transparency). Built on HLS, it integrates with ISO 9001/27001. Certification involves third-party audits for credibility.

    Why Organizations Use It

    Adoption drives risk mitigation, regulatory alignment (e.g., EU AI Act), and opportunities like innovation/trust. Early adopters (Microsoft, UiPath) gain competitive differentiation, reputation enhancement, supply chain resilience, and SDG alignment via ethical AI practices.

    Implementation Overview

    Phased: gap analysis, AIIAs, training, audits. Typical 6-12 months (faster with existing MSS). Universal for all sizes/sectors; certification via accredited bodies like BSI/Schellman, with 3-year validity and surveillance.

    Key Differences

    Scope

    ISO 19600
    Compliance management systems guidelines
    ISO/IEC 42001:2023
    AI management systems across lifecycle

    Industry

    ISO 19600
    All sectors, organizations worldwide
    ISO/IEC 42001:2023
    All sectors using/developing AI globally

    Nature

    ISO 19600
    Withdrawn guidelines, non-certifiable
    ISO/IEC 42001:2023
    Certifiable requirements standard

    Testing

    ISO 19600
    Internal audits, management reviews
    ISO/IEC 42001:2023
    Third-party certification audits

    Penalties

    ISO 19600
    No formal penalties
    ISO/IEC 42001:2023
    Loss of certification

    Frequently Asked Questions

    Common questions about ISO 19600 and ISO/IEC 42001:2023

    ISO 19600 FAQ

    ISO/IEC 42001:2023 FAQ

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