THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE
An international standard establishing a quality model and evaluation criteria tailored to software systems incorporating artificial intelligence.
Structured quality models allow procurement and engineering teams to specify, benchmark, and evaluate AI software quality and reliability against clear contract specifications.
An enterprise procurement team uses the ISO/IEC 25059 quality model to define acceptance testing criteria and SLAs for a commercial computer vision API.
Tailoring quality models to non-deterministic systems requires empirical benchmarking; quality metrics in static test sets may degrade when real-world production data drifts.
Part of the SQuaRE (Software product Quality Requirements and Evaluation) series, ISO/IEC 25059 adapts software quality characteristics for AI. It specifies sub-characteristics including functional adaptability, explainability, predictability, robustness, and fault tolerance, defining how to establish quality requirements and measure compliance across development lifecycles.
Intelligent Automation, Systems Architecture
ISO — ISO/IEC 25059:2023 — https://www.iso.org/standard/80655.html
An international standard providing methodologies for assessing the impacts of artificial intelligence systems on individuals and society.
An international standard establishing life cycle processes and engineering frameworks for artificial intelligence systems.
The certifiable international standard establishing requirements for enterprise Artificial Intelligence Management Systems.
International guidance on applying risk management principles specifically to artificial intelligence system lifecycles.
An international standard establishing a structured data life cycle framework specifically for artificial intelligence systems.