A position paper framing the mismatch between uncertainty quantities and their intended scientific claims as 'construct drift,' and proposing trustworthiness axes for scientific ML.
John Wiley & Sons, 2009
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On the Need to Align Intent and Implementation in Uncertainty Quantification for Machine Learning
A position paper framing the mismatch between uncertainty quantities and their intended scientific claims as 'construct drift,' and proposing trustworthiness axes for scientific ML.