SafetyALFRED: Evaluating Safety-Conscious Planning of Multimodal Large Language Models

Multimodal Large Language Models are increasingly adopted as autonomous agents in interactive environments, yet their ability to proactively address safety hazards remains insufficient. We introduce SafetyALFRED, built upon the embodied agent benchmark ALFRED, augmented with six categories of real-world kitchen hazards. While existing safety evaluations focus on hazard recognition through disembodied question answering (QA) settings, we evaluate eleven state-of-the-art models from the Qwen, Gemm

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ethics.ai (21 April 2026), “SafetyALFRED: Evaluating Safety-Conscious Planning of Multimodal Large Language Models,” evidence record 5537, https://ethics.ai/record/5537 (originally published by arXiv).

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