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Home Organization Publication Team Japanese Home Organization Publication Team Japanese AIST Publication Home Publication Machine Learning Quality Management Guideline 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 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) Copyright © AIST Digital Architecture Research Center All rights reserved.