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When Robots Mishear Us: Mapping the Safety Risks of Voice-Controlled Embodied AI

Paper recorded by Signals 4 on 2026-08-28 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-28 on arXiv · recorded by Signals 4 on 2026-08-31

Category: cs.AI · 人工智能 · first seen 2026-08-31

Abstract

We investigate whether automatic speech recognition (ASR) errors in user input can lead to unsafe outputs from Embodied AI (EAI) models. We find that ASR errors can lead to harmful instructions being accepted and executed by EAI models, thereby reducing safety. We simulate ASR errors and combine them with existing safety benchmarks (SafeAgentBench and POEX) to evaluate how different errors affect

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#289 most recent of 300 cs.AI papers we have recorded · ↑ newer: Texture Image Classification Using DWT AlexNet Feature Fusion and Deep · ↓ older: Conformal Uncertainty Quantification Guarantees for Neural Operators
Cite this page: When Robots Mishear Us: Mapping the Safety Risks of Voice-Controlled Embodied AI: the #289 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-robots-mishear-us-mapping-the-safety-risks-of-voice-controlled-embodied-ai.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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