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cs.LG2024
Trustworthy Artificial Intelligence in the Context of Metrology
Tameem Adel, Sam Bilson, Mark Levene +1
We review research at the National Physical Laboratory (NPL) in the area of trustworthy artificial intelligence (TAI), and more specifically trustworthy machine learning (TML), in…
cs.LG2024
Analytical results for uncertainty propagation through trained machine learning regression models
Andrew Thompson
Machine learning (ML) models are increasingly being used in metrology applications. However, for ML models to be credible in a metrology context they should be accompanied by princ…