Resources
Everything You Need to Implement ML FMEA
Access research papers, templates, tools, and implementation guides to help you apply the ML FMEA methodology in your organization.
Primary Resources
Start here with the foundational materials for understanding and implementing ML FMEA.
The ML FMEA: A Safe Machine Learning Approach
The original research paper introducing the ML FMEA methodology. Published by TORC Robotics and TÜV Rheinland, this comprehensive document provides the theoretical foundation and practical implementation guidance.
ML FMEA in Action (PrePrint)
Preprint companion paper “ML FMEA in Action”—practical application and implementation guidance for the ML FMEA methodology.
ML FMEA Template & Repository
Access the official GitHub repository containing the pre-populated ML FMEA Template, implementation examples, and collaborative development resources.
Virtual Event Recording
Watch the live presentation and Q&A session from June 11, 2025, where the authors presented the ML FMEA paper and answered questions from the community.
SAE World Congress Presentation
Download the 2025 SAE World Congress presentation materials for additional context and implementation guidance.
Related Standards & Guidelines
ML FMEA aligns with and supports compliance with these industry standards.
ISO 21448 (SOTIF)
Safety of the Intended Functionality
Addresses functional insufficiencies in ML specification and measurement data. ML FMEA helps satisfy the requirement for "analysis of off-line training process of machine learning algorithms."
UL 4600
Standards for Safety for the Evaluation of Autonomous Products
Covers V&V procedures, engineering rigor, and data quality requirements for ML algorithms in autonomous vehicles. ML FMEA provides evidence for suitable engineering rigor.
ISO PAS 8800
Road Vehicles – Safety and Artificial Intelligence
Prescribes analyses to ensure engineering rigor in ML pipeline development. ML FMEA methodology directly supports these requirements.
ISO TR 5469
Artificial Intelligence — Functional Safety and AI Systems
Lists fault model methodologies including process-level FMEA. ML FMEA provides the specific implementation guidance for this requirement.
Implementation Tools & Templates
Practical tools to help you implement ML FMEA in your organization.
ML FMEA Template
Pre-populated template with ML Pipeline steps, potential failure modes, causes, and current best practices. Ready to use for your specific ML project.
Download TemplateImplementation Checklist
Step-by-step checklist to guide your team through the ML FMEA process, ensuring no critical steps are missed.
Coming SoonStakeholder Guide
Guidance on identifying and engaging the right stakeholders for effective ML FMEA implementation across different roles and departments.
Coming SoonRisk Assessment Framework
Framework for prioritizing and categorizing identified risks, with guidance on appropriate mitigation strategies.
Coming SoonResearch & Literature
Additional research and publications related to ML safety and FMEA methodologies.
Machine Learning Safety Survey
Comprehensive survey of ML characteristics that safety engineers should understand, including potential failure modes in Markov Decision Processes and safe reinforcement learning.
View PaperTaxonomy of Machine Learning Safety
Links key safety principles to machine learning safety limitations and discusses three strategies: inherently safe design, enhancing performance & robustness, and runtime error detection.
View PaperML Safety in Automotive Software
Assessment and adaptation of software process requirements in ISO 26262 for using machine learning safely in automotive applications.
View PaperSTPAI: STPA for AI Systems
Application of Systems-Theoretic Process Analysis (STPA) to AI chatbot development, presented at the International Systems Safety Society 2024 conference.
View PaperCommunity Resources
Connect with the ML FMEA community and access collaborative resources.
GitHub Discussions
Join discussions, ask questions, and share experiences with the ML FMEA community on GitHub.
Join DiscussionCommunity Forum
Dedicated forum for ML FMEA practitioners to share case studies, best practices, and implementation challenges.
Visit ForumEvents & Webinars
Stay updated on upcoming events, webinars, and workshops related to ML FMEA and AI safety.
View EventsReady to Get Started?
Download the ML FMEA template and join our collaborative community to enhance AI safety.