Standards Comparison

    ISO/IEC 42001:2023

    Voluntary
    2023

    International standard for AI management systems

    VS

    ISO 30301

    Voluntary
    2019

    International standard for management systems for records

    Quick Verdict

    ISO/IEC 42001:2023 governs AI systems responsibly via PDCA and AIIAs, while ISO 30301 ensures records as reliable evidence through lifecycle controls. Companies adopt 42001 for ethical AI compliance and trust; 30301 for audit-ready governance and legal defensibility.

    AI Management

    ISO/IEC 42001:2023

    ISO/IEC 42001:2023 Artificial intelligence management system

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

    Key Features

    • Mandates AI Impact Assessments for high-risk systems
    • Implements PDCA cycle via High-Level Structure
    • Provides 38 Annex A controls for AI risks
    • Governs full AI lifecycle management end-to-end
    • Integrates seamlessly with ISO 27001 and 9001
    Records Management

    ISO 30301

    ISO 30301:2019 Management systems for records requirements

    Cost
    €€€€
    Complexity
    High
    Implementation Time
    12-18 months

    Key Features

    • High-Level Structure for MSS integration
    • Normative Annex A records lifecycle controls
    • Explicit records requirements analysis (Clause 4.1.2)
    • Top management accountability and policy
    • Flexible conformity pathways including certification

    Detailed Analysis

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

    ISO/IEC 42001:2023 Details

    What It Is

    ISO/IEC 42001:2023 Artificial intelligence — Artificial intelligence management system is the world's first international certification standard for establishing, implementing, and improving an Artificial Intelligence Management System (AIMS). It uses a risk-based PDCA (Plan-Do-Check-Act) methodology to govern AI responsibly across its lifecycle, applicable to any organization developing, providing, or using AI.

    Key Components

    • Clauses 4-10 cover context, leadership, planning, support, operation, evaluation, and improvement.
    • Annex A with 38 AI-specific controls for risks like bias, transparency, and integrity.
    • Built on High-Level Structure (HLS) for ISO integration; Annex B/C provide guidance.
    • Third-party certification via accredited auditors, valid 3 years with surveillance.

    Why Organizations Use It

    Drives ethical AI, mitigates risks (bias, drift), ensures EU AI Act alignment, boosts trust/reputation. Enables innovation, procurement advantages, insurance savings; early adopters like Microsoft gain competitive edge.

    Implementation Overview

    Phased gap analysis, AIIAs, training; 6-12 months typical. Suits all sizes/sectors; integrates with ISO 27001. Requires leadership, resources, audits for certification.

    ISO 30301 Details

    What It Is

    ISO 30301:2019 (Information and documentation — Management systems for records — Requirements) is an international certifiable standard for establishing and maintaining a Management System for Records (MSR). It applies to any organization, using a risk-based management system approach aligned with the High-Level Structure (HLS) to ensure reliable records support business activities, compliance, and governance.

    Key Components

    • **HLS clauses 4–10Context, leadership, planning, support, operation, performance evaluation, improvement.
    • **Clause 8 + Annex A (normative)Records lifecycle controls (creation, capture, access, retention, disposition).
    • Core principles: Authenticity, reliability, integrity, usability.
    • Flexible conformity: Self-declaration, external confirmation, third-party certification.

    Why Organizations Use It

    • Enhances compliance, risk management, and transparency.
    • Provides defensible evidence for audits, litigation, regulators.
    • Drives efficiency, integrates with ISO 9001/27001.
    • Builds stakeholder trust via measurable performance.

    Implementation Overview

    • Phased: Gap analysis, policy design, operational controls, audits.
    • Scalable for all sizes/industries; 9–18 months typical.
    • Requires leadership commitment, training, system integration.

    Key Differences

    Scope

    ISO/IEC 42001:2023
    AI management systems lifecycle governance
    ISO 30301
    Records management systems evidence controls

    Industry

    ISO/IEC 42001:2023
    All sectors, AI developers/providers/users
    ISO 30301
    All sectors, records-heavy organizations

    Nature

    ISO/IEC 42001:2023
    Voluntary certifiable AI standard
    ISO 30301
    Voluntary certifiable records standard

    Testing

    ISO/IEC 42001:2023
    Third-party audits, AIIAs, metrics
    ISO 30301
    Audits, reviews, self/external/certification

    Penalties

    ISO/IEC 42001:2023
    Loss of certification, no legal fines
    ISO 30301
    Loss of certification, no legal fines

    Frequently Asked Questions

    Common questions about ISO/IEC 42001:2023 and ISO 30301

    ISO/IEC 42001:2023 FAQ

    ISO 30301 FAQ

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