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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"

2nd Edition	(in Japanese) Machine Learning Quality Management Guideline, 2nd Japanese Edition
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

Feedback and Contacts

Please give us feedback about guideline contents using this feedback form.

Acknowledgments

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