RadLE-R: Accuracy Does Not Equal Trustworthiness
DrDatta_AIIMS · x · 2026-07-13
This is a supplementary note for RadLE-R, keeping the focus on "whether autonomous-level answers are truly correct."
The author reiterates:
- Claude Fable 5 nearly matches the human expert baseline on this metric.
- Other models drop off significantly.
- This indicates that even as models become more accurate, they aren't necessarily becoming more trustworthy.
Related event: RadLE 2.0 Released: Benchmarking Medical AI Uncertainty(8 posts)→
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