SeerGuard: A Safety Framework for Mobile GUI Agents via World Model Prediction
SeerGuard is a safety framework for mobile GUI agents that introduces pre-execution instruction-level screening and action-level risk assessment. It employs a safety-augmented world model (SAWM) to predict the outcomes of agent actions and assess potential risks before execution. Experimental results show that SeerGuard improves safety-utility scores and reduces risk-cost scores across various agents, demonstrating effective generalization.
Why it matters: SeerGuard enables proactive risk assessment for mobile GUI agents, addressing a key safety challenge by helping prevent irreversible errors before they occur.
Full story at: arXiv AI/ML ↗