Fig. 6: Visual definition of underskilling and overskilling bias in the context of binary skill assessment.
From: Human visual explanations mitigate bias in AI-based assessment of surgeon skills
Whereas an underskilling bias is reflected by a discrepancy in the negative predictive value of AI-based predictions across sub-cohorts of surgeons (e.g., s1 = novice and s2 = expert), and overskilling bias is reflected by a discrepancy in the positive predictive value.
