3 papers
cs.HC2026
Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals
ZhaoBin Li, Mark Steyvers
Productive human-AI collaboration requires appropriate reliance, yet contemporary AI systems are often miscalibrated, exhibiting systematic overconfidence or underconfidence. We in…
cs.AI2025
Beyond Accuracy: How AI Metacognitive Sensitivity improves AI-assisted Decision Making
ZhaoBin Li, Mark Steyvers
In settings where human decision-making relies on AI input, both the predictive accuracy of the AI system and the reliability of its confidence estimates influence decision quality…
cs.CR2024
On Feasibility of Intent Obfuscating Attacks
Zhaobin Li, Patrick Shafto
Intent obfuscation is a common tactic in adversarial situations, enabling the attacker to both manipulate the target system and avoid culpability. Surprisingly, it has rarely been…