Publication

Machine Learning Quality Management Guideline

“Machine Learning Quality Management Guideline” establishes a basis for quality goals for machine learning-based products/services, and provides procedural guidance for realizing quality through development process management and system evaluations.
This document is a joint product of DigiARC (Digital Architecture Research Center), CPSEC (Cyber Physical Security Research Center) and AIRC (Artificial Intelligence Research Center) in AIST.

About “Committee for machine learning quality management”

Machine Learning Quality Management Guideline

2nd Edition Machine Learning Quality Management Guideline, 2nd English Edition
Published on February 4, 2022
Machine Learning Quality Management Guideline, 2nd Japanese Edition
Published on July 5, 2021
1st edition Machine Learning Quality Management Guideline, 1st Japanese Edition
Published on June 30, 2020 CPSEC Technical Report CPSEC-TR-2020001
Machine Learning Quality Management Guideline, 1st English Edition
Published on Feb 12, 2021 CPSEC Technical Report CPSEC-TR-2020002

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)