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.

AI Quality Management Symposium on September 8, 2022.

About “Committee for machine learning quality management”

Machine Learning Quality Management Guideline

3rd Edition	Machine Learning Quality Management Guideline, 3rd English Edition Published on January 20, 2023 Machine Learning Quality Management Guideline, 3rd Japanese Edition Published on August 2, 2022
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)