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 →

Feedback and contacts

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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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