New Training: ISO/IEC TS 22440, Functional Safety and AI Systems
SecuRESafe (SRES) is now offering a one-day training course introducing the foundational principles for ensuring the functional safety of systems utilizing Artificial Intelligence (AI), grounded in the ISO/IEC TS 22440 series. The course explores how AI technology integrates with established functional safety frameworks—such as IEC 61508 and ISO 26262—and how machine learning challenges traditional deterministic safety assumptions.
The training addresses the specialized approach required for the inherently dynamic nature of AI decision-making. Participants examine the AI safety life cycle, classification schemes for AI software components, and mitigation techniques such as diverse redundancy and runtime monitoring. The course also introduces approaches for quantifying residual failures and validating non-deterministic software through statistical performance assessments.
Why Attend?
- Understand the structure and intent of the ISO/IEC TS 22440 series
Explore how AI challenges traditional deterministic functional safety approaches
Learn classification schemes for AI software components
Identify AI-specific faults and failure modes
Apply verification and validation concepts for non-deterministic systems
Key Topics Include:
- ISO/IEC TS 22440 terminology, structure, and application context
Application Usage Levels (AUL A–D) and Software Technology Classes (SWTC I–III)
The AI safety life cycle and extensions to the V-model
Integration of AI-related faults into hazard and risk assessment
Architectural mitigation techniques, including diverse redundancy and monitoring
Data quality, ODD coverage, and data drift considerations
Statistical performance metrics and residual failure analysis
Qualification considerations for AI-based development tools
Who This Training Is For
This course is intended for professionals working with AI-based functionality in safety-related systems, including those involved in:
Functional safety activities where AI or machine learning is part of the system design
Development, verification, or validation of non-deterministic software components
Classification, analysis, or mitigation of AI-specific faults and failure modes
Integration of AI functionality with established functional safety frameworks such as IEC 61508 or ISO 26262
Expert Instructors
SRES instructors deliver this training based on extensive and practical experience with functional safety and AI-based systems, focusing on the interpretation and application of the guidance provided in ISO/IEC TS 22440.
Bring This Training to Your Team
This training is currently available on request as a private, one-day course, delivered virtually or in person.
