Enrollment Open: Understanding ISO/IEC TS 22440

When: 12th-13th November 2025

Where: Austin, Texas, USA

Registration Deadline: 11th October 2025

Overview

Artificial intelligence (AI) and Machine Learning (ML) have the potential of becoming core components in safety-critical systems. However, traditional functional safety standards, like IEC 61508, are not designed to address the non-deterministic, adaptive, and data-driven nature of AI.

Reynolds & Moore is hosting a comprehensive 2-day training, instructed by RMAI, designed to provide a deep understanding of designing safety systems using AI/ML in accordance with the new ISO/IEC TS 22440: Artificial Intelligence – Functional Safety and AI systems standard. This training is ideal for engineers, project managers, and safety professionals intending to leverage AI/ML in their safety systems.

Why It Matters

ISO/IEC TS 22440 is the first international standard developed specifically to guide the functional safety of AI-based systems for industrial applications. Without a defined safety framework, AI systems, despite their potential, face serious hurdles in acceptance, certification, and deployment in regulated industries. ISO/IEC TS 22440 provides the methodology to analyze, assess, and mitigate AI-related risks, enabling the development of:

• AI-based behavioral decision-making in robotics

• AI-enabled identification and classification of objects

• Predictive diagnostics in industrial maintenance

• Machine learning models used in safety monitoring or anomaly detection

This standard equips organizations with the tools to confidently deploy AI in safety-critical decision-making, enabling responsible innovation while ensuring compliance and trust.

Course Structure

Day 1: In-Depth Review of ISO/IEC TS 22440-1 & ISO/IEC TS 22440-2

• Introduction to ISO/IEC TS 22440 and its scope

• Three-stage analysis for the realization of AI systems:

  • Data acquisition

  • Knowledge induction

  • Processing and output generation

• Classification of AI technology to support identification of risk reduction and mitigation methods

• AI safety lifecycle within the traditional functional safety lifecycle

• Unique hazard and risk assessment considerations for AI systems

• Failure modes and affects specific to AI systems

• Risk reduction methods and mitigations to be considered for AI systems

Day 2: Examples of ISO/IEC TS 22440 Applications & Exam

• Wrapping up ISO/IEC TS 22440-1: verification and validation requirements

• Review of application examples from ISO/IEC TS 22440-3

• Open discussion for remaining questions

• 2-hour open notes exam

This course is designed to be interactive and practical, with opportunities for discussion, Q&A, and application of concepts to real-world scenarios. By the end of the training, participants have a solid foundation in both theories and applications of AI functional safety principles. The exam requires a passing score of a minimum of 70%. Upon successful completion of the exam, participants will receive a Confirmation of Participation of the training. 

Enrollment

The participation fee is $3,000, and enrollment is limited to 25 participants to ensure a high-quality learning experience. Seats are allocated on a first-come, first-served basis.

Disclaimer: This training is based on a draft of ISO/IEC TS 22440 and provides early insights to meet strong market demand. Content may change as the standard develops. The aim is to support innovation by offering one of the first detailed overviews globally.