RISED is a structured pre-deployment safety framework that flags failures in clinical AI systems across reliability, inclusivity, sensitivity, equity, and deployability using pre-specified criteria and statistical corrections, even when aggregate accuracy looks strong.
ACM Computing Surveys , year =
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
PVPS classifier predicts identity-specific evaluations of political images and demonstrates that accounting for audience identity changes conclusions about visual sentiment in protest studies.
citing papers explorer
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RISED: A Pre-Deployment Safety Evaluation Framework for Clinical AI Decision-Support Systems
RISED is a structured pre-deployment safety framework that flags failures in clinical AI systems across reliability, inclusivity, sensitivity, equity, and deployability using pre-specified criteria and statistical corrections, even when aggregate accuracy looks strong.
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Unpacking the Eye of the Beholder: Social Location, Identity, and the Moving Target of Political Perspectives
PVPS classifier predicts identity-specific evaluations of political images and demonstrates that accounting for audience identity changes conclusions about visual sentiment in protest studies.