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Drew Prinster

@drewprinster.bsky.social
41 followers 40 following 16 posts

Trustworthy AI/ML in healthcare & high-stakes apps | My job is (mostly) error bars \SaluteEmoji (eg, conformal prediction) | CS PhD at Johns Hopkins. Prev at Yale. he/him drewprinster.github.io

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Drew Prinster @drewprinster.bsky.social · 13/05/2025
AI monitoring is key to responsible deployment. Our #ICML2025 paper develops approaches for 3 main goals: 1) *Adapting* to mild data shifts 2) *Quickly Detecting* harmful shifts 3) *Diagnosing* cause of degradation 🧵w/ Xing Han, Anqi Liu, Suchi Saria arxiv.org/abs/2505.04608
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Reposted by Drew Prinster
JHU Computer Science @jhucompsci.bsky.social · 07/04/2025
For #WorldHealthDay, Hopkins researchers including @drewprinster.bsky.social found that more specific #AI explanations increase physicians’ diagnostic accuracy and efficiency—but can also foster misplaced trust. Learn more:
cs.jhu.edu
Explain yourself: Designing AI for better human-machine teaming
A new study by Hopkins researchers finds that doctors’ diagnostic performance and trust in AI advice depends on how the AI assistant explains itself.
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Drew Prinster @drewprinster.bsky.social · 07/01/2025
When do AI explanations actually help, & promote appropriate trust? Spoiler, via prospective, multisite @radiology_rsna study of 220 doctors: *How* AI explains its advice has big impacts on doctors’ diagnostic performance and trust in AI--even if they *don’t realize it*! 🧵1/ #AI #Radiology
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