mlsanityData to 14 Oct 2026

Trust in Language Grounding: a new AI challenge for human-robot teams

arXiv 2209.02066 ↗First posted 5 Sep 2022cs.AI cs.LG cs.ROcited by 1

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Abstract (arXiv)

The challenge of language grounding is to fully understand natural language by grounding language in real-world referents. While AI techniques are available, the widespread adoption and effectiveness of such technologies for human-robot teams relies critically on user trust. This survey provides three contributions relating to the newly emerging field of trust in language grounding, including a) an overview of language grounding research in terms of AI technologies, data sets, and user interfaces; b) six hypothesised trust factors relevant to language grounding, which are tested empirically on a human-robot cleaning team; and c) future research directions for trust in language grounding.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 66 of its 152 references that are in the map. First posted on arXiv 5 Sep 2022.

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  1. 2023The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answeringcited by 26