Standards Comparison

    AS9100

    Mandatory
    2016

    Aerospace quality management system standard extending ISO 9001

    VS

    ISO/IEC 42001:2023

    Voluntary
    2023

    International standard for AI management systems

    Quick Verdict

    AS9100 ensures aerospace quality with safety and configuration controls for aviation suppliers, while ISO/IEC 42001:2023 governs AI systems via risk assessments and ethics for any AI user. Organizations adopt them for certification, compliance, and supply chain trust.

    Quality Management

    AS9100

    AS9100D: Aerospace Quality Management Systems Standard

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

    Key Features

    • Explicit configuration management throughout product lifecycle
    • Product safety planning and controls across lifecycle
    • Counterfeit parts prevention and detection processes
    • Operational risk management for product realization
    • Enhanced supplier controls with traceability requirements
    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 cycle for AI governance and improvement
    • Mandatory AI Impact Assessments for high-risk systems
    • Annex A with 38 AI-specific controls
    • Full AI lifecycle management controls
    • Seamless integration with ISO 27001 via HLS

    Detailed Analysis

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

    AS9100 Details

    What It Is

    AS9100D (AS9100:2016) is a certification standard for quality management systems (QMS) in aviation, space, and defense. It extends ISO 9001:2015 with over 100 aerospace-specific requirements, using a process-based, risk-focused approach across 10 clauses aligned to Annex SL.

    Key Components

    • Core pillars: context, leadership, planning, support, operation, evaluation, improvement.
    • Aerospace additions: configuration management (8.1.2), product safety (8.1.3), counterfeit prevention (8.1.4), operational risks (8.1.1).
    • Built on PDCA cycle; requires third-party certification via IAQG-accredited audits.

    Why Organizations Use It

    • Enables market access as OEM prerequisite.
    • Reduces defects, improves delivery via risk controls.
    • Manages supply chain risks, enhances safety.
    • Builds stakeholder trust through OASIS visibility.

    Implementation Overview

    • Phased: gap analysis, process design, training, internal audits, Stage 1/2 certification.
    • Applies to manufacturers, designers, MROs globally.
    • 6-18 months typical; ongoing surveillance audits.

    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). It specifies requirements to establish, implement, maintain, and improve AIMS, governing AI risks and opportunities responsibly. Applicable to any organization using or providing AI, it employs the Plan-Do-Check-Act (PDCA) methodology and High-Level Structure (HLS) for lifecycle management.

    Key Components

    • Clauses 4-10: context, leadership, planning, support, operation, evaluation, improvement
    • Annex A: 38 AI-specific controls (e.g., data governance, transparency, resiliency)
    • Mandatory AI Impact Assessments (AIIAs) for high-risk systems
    • Third-party audits for certification

    Why Organizations Use It

    • Mitigates AI risks like bias, model drift, ethical issues
    • Aligns with EU AI Act, NIST frameworks
    • Builds stakeholder trust, enhances reputation
    • Drives innovation, regulatory preparedness, competitive edge

    Implementation Overview

    • Phased: gap analysis, policy development, risk treatment
    • Suits all sizes, sectors, AI roles (providers, users)
    • 6-12 months typical, with audits, monitoring, training

    Key Differences

    Scope

    AS9100
    Aerospace QMS with safety, configuration, counterfeit controls
    ISO/IEC 42001:2023
    AI Management System for lifecycle risks, ethics, bias

    Industry

    AS9100
    Aviation, space, defense organizations globally
    ISO/IEC 42001:2023
    All sectors using/developing AI worldwide

    Nature

    AS9100
    Voluntary certification standard building on ISO 9001
    ISO/IEC 42001:2023
    Voluntary AIMS certification standard on Annex SL

    Testing

    AS9100
    Stage 1/2 audits, annual surveillance, recert every 3 years
    ISO/IEC 42001:2023
    Third-party audits, surveillance, AIIAs for high-risk AI

    Penalties

    AS9100
    Loss of certification, market access denial
    ISO/IEC 42001:2023
    Loss of certification, regulatory non-compliance risks

    Frequently Asked Questions

    Common questions about AS9100 and ISO/IEC 42001:2023

    AS9100 FAQ

    ISO/IEC 42001:2023 FAQ

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