Software, Cybersecurity and AI
ISO/IEC 42001: Artificial Intelligence Management Systems
ISO/IEC 42001 specifies requirements for an artificial intelligence management system: the policies, roles, processes and controls an organization uses to develop, provide or use AI systems responsibly. Like ISO/IEC 27001, it's a management system standard rather than a medical device standard, and it doesn't replace device-level verification, validation or regulatory requirements for AI-enabled devices.
At a Glance
- Standard
- ISO/IEC 42001
- Subject
- Artificial Intelligence Management Systems
- Group
- Software, Cybersecurity and AI
- Industries
- 1 industry guides reference it
A plain-language summary of scope, not the standard itself. Buy the current edition from the publisher and check which edition your auditor or market expects.
What It Covers
The standard follows the familiar management system structure: context and scope, leadership and policy, planning, support, operation, performance evaluation and improvement. Specific to AI, it asks for AI risk assessment and treatment, AI system impact assessments that consider effects on individuals and society, and controls over data, the AI system lifecycle, third-party relationships and responsible use.
Device makers meet it in two places. The first is products: firms building AI-enabled devices can use it to govern how models are designed, trained, monitored and changed across the organization, complementing the device-specific work in design controls, IEC 62304 and risk management. The second is the quality system itself, where AI tools are increasingly used to draft documents, review records or sort complaints, and the firm needs a defensible way to decide where AI is allowed and how its output is checked.
Its role in medical device regulation is still taking shape, so it's best treated as governance and customer assurance rather than a route to market. A firm that uses AI in quality processes still has to validate that software for its intended use under its QMS and control the supplier that provides it, whatever its AI management system says.
Who It Applies To
- Developers of AI-enabled devices and Software as a Medical Device
- Device makers using AI tools in quality, regulatory or complaint handling work
- Firms answering customer or partner questions about AI governance
- Organizations that build or supply AI components to device manufacturers
What Auditors Check
AI Policy and Scope
A stated AI policy and a defined scope listing the AI systems the organization develops, provides or uses.
AI Risk and Impact Assessments
Documented AI risk assessments and impact assessments, with treatment decisions and owners.
Data Governance
Records of data sources, quality checks and controls over training and test data.
Lifecycle and Change Control
Controls over model changes, retraining and monitoring, connected to design controls where the AI is part of a device.
Human Oversight of AI Output
Defined review steps where AI output feeds decisions, such as a qualified person approving AI-drafted quality records.
Third-Party AI Suppliers
Evaluation and monitoring of AI tools and model providers through supplier controls.
Related Services
Software Validation and Device Software (CSV, IEC 62304)
Validate software used in production and the QMS, and build device software on an IEC 62304 lifecycle.
Supplier Audits and Supplier Controls
Risk-based supplier selection, quality agreements, monitoring and supplier audits that hold up under QMSR.
Ongoing Advisory and Continuous Readiness
Periodic re-assessments, a live action plan and yearly mock inspections that keep readiness from decaying.
Industry Guides That Reference ISO/IEC 42001
Questions
Is ISO/IEC 42001 required for AI-enabled medical devices?
Not as a device requirement. AI-enabled devices still go through the usual device pathway, with design controls, software lifecycle and risk management, and regulators publish their own expectations for AI in devices. ISO/IEC 42001 governs how the organization manages AI and can support that work, not replace it.
We use AI tools in our quality system. Does this standard apply?
It can help structure how you govern those tools, but your QMS already has obligations: software used in quality processes needs validation proportionate to its risk, and the suppliers of those tools need to be controlled. Auditors will want to see who reviewed and approved AI output before it became a quality record.
How does it relate to ISO/IEC 27001?
They share the same management system structure, so firms with an ISMS often extend shared processes such as internal audit and management review. The content differs: ISO/IEC 27001 addresses information security risk, while ISO/IEC 42001 addresses the risks and impacts specific to AI systems.
ISO/IEC 42001
Check Your Quality System Against ISO/IEC 42001
An AI-assisted first pass maps your existing documents against the requirements in scope, and an advisor reviews every result. Please don't send confidential documents yet: secure upload is set up after onboarding.
