2026
Mind the Gap: Quantifying and Aligning Human-AI Visual Attention for Accident Anticipation
AAAI 2026technical
Quantifying and understanding human-AI alignment in high-risk tasks such as traffic accident prediction is crucial for deployment of AI systems. Existing alignment studies, however, focus mostly on the static domain and neglect the importance of attentional processing. Here, we present Attention‑DAD