ISO/IEC 25059:2023 - Quality model for AI systems
Defines quality models for AI systems: one for product quality, one for quality in use and, in the second edition, one for AI service quality. The models extend the SQuaRE standards with AI-specific characteristics such as user controllability, functional adaptability, robustness, transparency, intervenability and environmental sustainability.
A newer edition exists. ISO/IEC FDIS 25059, edition 2, stage 50.00, planning date 2027-02-15 (estimate, not an ISO date).
ISO/IEC 25059:2023 - Quality model for AI systems is a compliance framework from International (ISO/IEC JTC 1/SC 42, artificial intelligence) with 4 domains and 15 controls. The largest domains are Clause 5 - Product quality model – ISO/IEC 25059:2023 - Quality model for AI systems (7 controls), Annexes A to C - Informative – ISO/IEC 25059:2023 - Quality model for AI systems (3 controls), Clause 7 - AI service quality model – ISO/IEC 25059:2023 - Quality model for AI systems (3 controls). Every control below carries what it requires and what an assessor expects to see.
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Framework Domains (4)
Annexes A to C - Informative – ISO/IEC 25059:2023 - Quality model for AI systems
| Code | Title |
|---|---|
| iso-iec-25059-2023::A | Annex A (informative) SQuaRE |
| iso-iec-25059-2023::B | Annex B (informative) Risk-based and quality-based approaches |
| iso-iec-25059-2023::C | Annex C (informative) Performance |
Clause 5 - Product quality model – ISO/IEC 25059:2023 - Quality model for AI systems
| Code | Title |
|---|---|
| iso-iec-25059-2023::5.2 | User controllability |
| iso-iec-25059-2023::5.3 | Functional adaptability |
| iso-iec-25059-2023::5.4 | Functional correctness |
| iso-iec-25059-2023::5.5 | Robustness |
| iso-iec-25059-2023::5.6 | Transparency |
| iso-iec-25059-2023::5.7 | Intervenability |
| iso-iec-25059-2023::5.8 | Environmental sustainability |
Clause 6 - Quality-in-use model – ISO/IEC 25059:2023 - Quality model for AI systems
| Code | Title |
|---|---|
| iso-iec-25059-2023::6.2 | Transparency |
| iso-iec-25059-2023::6.3 | Societal and ethical risk mitigation |
Clause 7 - AI service quality model – ISO/IEC 25059:2023 - Quality model for AI systems
| Code | Title |
|---|---|
| iso-iec-25059-2023::7.2 | Traceability |
| iso-iec-25059-2023::7.3 | Service adaptability |
| iso-iec-25059-2023::7.4 | Customizability |
What is ISO/IEC 25059:2023 - Quality model for AI systems and who does it apply to?
ISO/IEC 25059:2023 - Quality model for AI systems is a compliance framework from International (ISO/IEC JTC 1/SC 42, artificial intelligence) with 4 domains and 15 controls. Defines quality models for AI systems: one for product quality, one for quality in use and, in the second edition, one for AI service quality. The models extend the SQuaRE standards with AI-specific characteristics such as user controllability, functional adaptability, robustness, transparency, intervenability and environmental sustainability. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
What does ISO/IEC 25059:2023 - Quality model for AI systems actually require?
ISO/IEC 25059:2023 - Quality model for AI systems has 15 controls organised across 4 domains. The largest domains are Clause 5 - Product quality model – ISO/IEC 25059:2023 - Quality model for AI systems (7 controls), Annexes A to C - Informative – ISO/IEC 25059:2023 - Quality model for AI systems (3 controls), Clause 7 - AI service quality model – ISO/IEC 25059:2023 - Quality model for AI systems (3 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
If I already comply with another framework, how much of ISO/IEC 25059:2023 - Quality model for AI systems do I already cover?
ISO/IEC 25059:2023 - Quality model for AI systems does not currently have cross-framework mappings in our system. Check back as we continuously expand our mapping database.
How do I implement ISO/IEC 25059:2023 - Quality model for AI systems?
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