Ultimately, ISO/IEC TS 25058 addresses the "black box" problem of AI by providing a systematic methodology for evaluation. By bridging the gap between traditional software engineering and the unique requirements of machine learning, it ensures that as AI becomes more pervasive, it also becomes more safe, transparent, and dependable.
for integrating these tests into a DevOps pipeline Clarification on the difference between ISO 25058 and 25059 Let me know which area you'd like to explore further. Robustness and Explainability of Artificial Intelligence iso 25058
Focuses on modular design, version compatibility, and ease of updating or retraining the model. Ultimately, ISO/IEC TS 25058 addresses the "black box"
Clearly define the boundaries of the AI system to be evaluated, including its components, data sources, and intended use scenarios. 2. Establish Quality Requirements (ISO/IEC 25059) including its components
Establishing mechanisms to ensure AI performance is reliable, safe, and secure.