New RG Aero 000 740

RG Aéro 000 740 deals with the validation of functions, or components, integrating or using machine learning algorithms (AI/ML) through the identification of error risks throughout the development cycle of an AI/ML component. These risks are systematically linked to the activities and quality objectives of the development process. Measures for mitigating these risks and criteria for assessing their effectiveness at different stages of the development process are then proposed.

CONTENTS

1 Purpose and scope

2 Normative references

3 Terms and definitions

4 Activities, risks and associated mitigations

4.1 Introduction

4.2 State of the art risks

4.3 Specification risks

4.4 Learning resource risks

4.5 Verification and validation resource risks

4.6 Learning process risks

4.7 Verification risks

4.8 Validation risks

4.9 Deployment risks

4.10 Lifecycle management risks

5 Modulation of IA/ML assurance levels

Bibliography