GUIDELINE

Machine Learning Quality
Management Guideline

ABOUT THE GUIDELINE

Machine Learning Quality Management Guideline

The guideline establishes a basis for quality goals for machine-learning-based products and services, and provides procedural guidance for achieving quality through development process management and system evaluations. It is a joint product of DigiARC, CPSEC and AIRC at AIST.

About the Committee for Machine Learning Quality Management

Published editions

4th4th Edition
3rd3rd Edition
2nd2nd Edition
1st1st English Edition Published February 12, 2021 / CPSEC-TR-20200021st Japanese Edition Published June 30, 2020 / CPSEC-TR-2020001
Reference Guide to Machine Learning Quality Management

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Acknowledgments

These reports are based on results obtained from a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO).

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