Standards Comparison

    ISO 14064

    Voluntary
    2018

    International standard for GHG quantification, reporting, and verification

    VS

    ISO/IEC 42001:2023

    Voluntary
    2023

    International standard for AI management systems

    Quick Verdict

    ISO 14064 provides GHG inventory, project accounting, and verification principles for climate reporting, while ISO/IEC 42001:2023 establishes AI management systems for ethical lifecycle governance. Companies adopt them for credible emissions data and trustworthy AI, enhancing compliance, trust, and market access.

    Greenhouse Gas Accounting

    ISO 14064

    ISO 14064 Greenhouse gases quantification and reporting

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

    Key Features

    • Three-part modular structure for inventories, projects, assurance
    • Five core principles: relevance, completeness, consistency, transparency, accuracy
    • Defines Scope 1-3 boundaries and organizational consolidation approaches
    • Risk-based validation/verification with materiality assessment
    • Supports regulatory compliance and third-party assurance statements
    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
    • 38 AI-specific controls in Annex A
    • PDCA cycle across full AI lifecycle
    • Integrates with ISO 27001 via High-Level Structure
    • Requires leadership commitment and continual improvement

    Detailed Analysis

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

    ISO 14064 Details

    What It Is

    ISO 14064 is an international standard family (Parts 1-3:2018-2019) for GHG quantification, reporting, and assurance. It provides a modular framework for organizations to develop credible inventories, project reductions, and third-party verification using principle-based approaches emphasizing relevance, completeness, consistency, transparency, and accuracy.

    Key Components

    • **Part 1Organizational inventories with Scope 1-3 boundaries.
    • **Part 2Project-level baselines, additionality, monitoring.
    • **Part 3Validation/verification with risk assessment, materiality, evidence gathering. Built on five core principles; supports voluntary assurance, no formal certification.

    Why Organizations Use It

    Drives regulatory compliance (e.g., CSRD, SB-253), investor trust, carbon market access. Mitigates greenwashing risks, enables decarbonization strategies, enhances stakeholder credibility through auditable data.

    Implementation Overview

    Phased approach: governance, boundary setting, data systems, verification. Applies to all sizes/industries; 6-12 months typical for mid-sized firms. Involves cross-functional teams, software tools, optional ISO 14064-3 assurance by accredited bodies.

    ISO/IEC 42001:2023 Details

    What It Is

    ISO/IEC 42001:2023 is the world's first international standard for establishing, implementing, maintaining, and improving an Artificial Intelligence Management System (AIMS). It provides a PDCA-based framework to govern AI responsibly across the full lifecycle, addressing risks like bias, transparency, and ethics for any organization involved in AI development, provision, or use.

    Key Components

    • Clauses 4-10 cover context, leadership, planning, support, operation, evaluation, and improvement.
    • Annex A with 38 AI-specific controls on data, transparency, integrity, and resiliency.
    • Built on High-Level Structure (HLS) for integration with ISO 9001/27001.
    • Certification via accredited third-party audits.

    Why Organizations Use It

    • Mitigates AI risks, ensures ethical practices, and supports regulations like EU AI Act.
    • Builds stakeholder trust, enhances reputation, and drives competitive differentiation.
    • Enables innovation while managing opportunities and compliance.

    Implementation Overview

    • Phased approach: gap analysis, risk assessments (AIIAs), training, and audits.
    • Applicable to all sizes/sectors; 6-12 months typical with existing ISO systems.
    • Requires leadership commitment, documented processes, and continual monitoring.

    Key Differences

    Scope

    ISO 14064
    GHG emissions quantification, reporting, verification
    ISO/IEC 42001:2023
    AI management systems, lifecycle governance, ethics

    Industry

    ISO 14064
    All sectors worldwide, any organization size
    ISO/IEC 42001:2023
    All sectors worldwide, AI developers/users/providers

    Nature

    ISO 14064
    Voluntary international standard family, certification optional
    ISO/IEC 42001:2023
    Voluntary international management system standard, certifiable

    Testing

    ISO 14064
    Third-party validation/verification under Part 3, optional
    ISO/IEC 42001:2023
    Internal audits, management reviews, third-party certification

    Penalties

    ISO 14064
    No legal penalties, loss of credibility/certification
    ISO/IEC 42001:2023
    No legal penalties, loss of certification/reputation

    Frequently Asked Questions

    Common questions about ISO 14064 and ISO/IEC 42001:2023

    ISO 14064 FAQ

    ISO/IEC 42001:2023 FAQ

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