Algorithmic Risk Management: Applying ISO/IEC 23894 within ISO/IEC 42001
The evaluation of these technical risks is the first step of our Artificial Intelligence audit. Algorithmic risk management is the cornerstone of establishing a reliable AIMS. This report analyzes how to integrate the specific risk assessment guidelines of ISO/IEC 23894 into the overall governance framework stipulated by ISO/IEC 42001. It covers critical topics such as bias in machine learning models, data poisoning during training, and explainability (XAI). Identifying and classifying AI risk is crucial in highly regulated industries such as finance and healthcare.
Field evidence
Key Questions
- What is ISO/IEC 23894 about? — It provides particular guidelines on how to perform risk management for organizations that develop or use artificial intelligence.
- How do 23894 and 42001 complement each other? — While 42001 requires the establishment of a general management system with risk assessment as a pillar, 23894 provides the technical methodological mechanism to catalog the unique threats of algorithmic models.
Methodology
Normative framework
ISO/IEC 42001:2023; ISO/IEC 23894:2023 (Artificial Intelligence Risk Management).
Research protocol
Analysis of the conceptual risk management flow in algorithms. Design of conceptual frameworks for risk audits.
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