Drew Prinster
@drewprinster.bsky.social
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
https://drewprinster.github.io/
https://drewprinster.github.io/
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
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
May 13, 2025 at 7:14 PM
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
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
Reposted by Drew Prinster
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:
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.
www.cs.jhu.edu
April 7, 2025 at 6:01 PM
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:
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
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
January 7, 2025 at 7:47 PM
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
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