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T18. AI quality management, model monitoring, and audit trails

Research and standards for keeping a deployed model accountable over time.

  1. T18-1Similar problem

    Hidden Technical Debt in Machine Learning Systems

    Authors
    D. Sculley and 9 others (Google)
    Year
    2015
    Venue
    NeurIPS(NIPS) 28

    Korean review of T18-1

  2. T18-7Similar problem

    A Survey on Concept Drift Adaptation

    Authors
    João Gama, Indrė Žliobaitė, Albert Bifet, Mykola Pechenizkiy, Abdelhamid Bouchachia
    Year
    2014
    Venue
    ACM Computing Surveys 46(4), 1-37

    Korean review of T18-7

  3. T18-8Similar problem

    Learning under Concept Drift: A Review

    Authors
    Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang
    Year
    2019
    Venue
    IEEE Transactions on Knowledge and Data Engineering 31(12), 2346-2363

    Korean review of T18-8

  4. T18-10Similar problem

    Operationalizing Machine Learning: An Interview Study

    Authors
    Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
    Year
    2022
    Venue
    arXiv (UC Berkeley)

    Korean review of T18-10

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