This Technical Report was developed to incorporate the emergence of AI (Artificial Intelligence) techniques with established functional safety methodologies. Functional safety terminology used in this B11.TR10 was primarily selected to complement other ANSI B11 American National Standards. The writing subcommittee of this Technical Report realizes that AI methodologies are expected, and will continue, to evolve. The “requirements” herein were written to be robust enough to apply to future applications, with the numerous Informative Notes providing examples of ways it could be achieved using current methods.

Table of Contents

FOREWORD
Objective
Normative vs. Informative Text
General
INTRODUCTION
1 SCOPE
2 REFERENCE
3 DEFINITIONS
4 RISK ASSESSMENT
4.1 Data (Datasets)
4.1.1 Data Quantity
4.1.2 Data Quality
4.1.3 Effect of Data on Safety Functions
4.2 Use and Limits 
4.3 Analysis 
4.4 Risk Reduction
4.4.1 Methodology
4.4.2 AI Models
4.4.3 Information Retrieval
4.4.4 Operating Conditions
4.4.5 Hazardous Conditions
5 AI SYSTEM DESIGN
5.1 General
5.1.1 AI for Predictive Maintenance
5.1.2 AI for Analytical Function(s)
5.1.3 AI for Predictive Function(s)
5.2 Requirements
5.3 AI Span of Control
5.4 Reward / Penalty
5.5 Classification Sets 
5.6 Certainty Levels
5.7 Interfaces (communication) with Other Machines or Equipment 
5.8 Interfaces (communication) with Humans
5.9 Faults Leading to Failures
5.10 Faults and Failures
6 AI SYSTEM TRAINING 
6.1 Expertise 
6.2 Responsibility 
6.3 Training Sets 
7 AI SYSTEM EVALUATION
7.1 AI System Validation 
7.2 AI Test Set 
7.3 Learning after Test Set is Validated 
8 POST MACHINE TRAINING ACTIONS 
8.1 User Training 
8.2 Maintenance 
8.3 Adversarial Attacks 
8.4 Traceability 
8.5 Information for Use 
ANNEX A —CORRELATION OF EXISTING FUNCTIONAL SAFETY CONCEPTS TO AI SYSTEMS 
BIBLIOGRAPHY

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