Evidence record 12304 · automatically gathered

SeerGuard: A Safety Framework for Mobile GUI Agents via World Model Prediction

Mobile graphical user interface (GUI) agents have demonstrated remarkable capabilities in automating complex tasks, yet they introduce critical safety risks where a single erroneous action can lead to irreversible consequences. Existing safety mechanisms are primarily reactive, lacking the ability to assess risks before execution. In this paper, we introduce SeerGuard, a consequence-aware safety framework designed to mitigate these risks through pre-execution instruction-level screening and acti

Record details

Published: 16 July 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy
Retrieved: 22 July 2026

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ethics.ai (16 July 2026), “SeerGuard: A Safety Framework for Mobile GUI Agents via World Model Prediction,” evidence record 12304, https://ethics.ai/record/12304 (originally published by HuggingFace Daily Papers).

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