CPSEC, Digital Architecture Research Center (DigiARC) and Artificial Intelligence Research Center (AIRC) of AIST jointly publish “Machine Learning Quality Management Guideline”. This document 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.

About “Committee for machine learning quality management”

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2nd edition

Machine Learning Quality Management Guideline – 2nd English Edition

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1st edition

Machine Learning Quality Management Guideline, 1st Japanese Edition
Published on Jun 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

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Feedback and Contacts

Please give us feedback about guideline contents using this feedback form
A contact address for general inquiry is available here

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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).