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cs.HC2025
Human-AI Teaming Under Deception: An Implicit BCI Safeguards Drone Team Performance in Virtual Reality
Christopher Baker, Stephen Hinton, Akashdeep Nijjar +4
Human-AI teams can be vulnerable to catastrophic failure when feedback from the AI is incorrect, especially under high cognitive workload. Traditional team aggregation methods, suc…
cs.CY2025
What do model reports say about their ChemBio benchmark evaluations? Comparing recent releases to the STREAM framework
Tom Reed, Tegan McCaslin, Luca Righetti
Most frontier AI developers publicly document their safety evaluations of new AI models in model reports, including testing for chemical and biological (ChemBio) misuse risks. This…
cs.CY2025
STREAM (ChemBio): A Standard for Transparently Reporting Evaluations in AI Model Reports
Tegan McCaslin, Jide Alaga, Samira Nedungadi +5
Evaluations of dangerous AI capabilities are important for managing catastrophic risks. Public transparency into these evaluations - including what they test, how they are conducte…