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Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems
However, end-to-end development of ML-enabled systems, as well as their seamless deployment and operations, remain a challenge.
Component Mismatches Are a Critical Bottleneck to Fielding AI-Enabled Systems in the Public Sector
As a result, assumptions and even descriptive language used by practitioners from these different disciplines can exacerbate other challenges to integrating ML/AI components into larger systems.
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