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Researchers Urge Public Communication on AI in Emergencies

A new paper published on arXiv calls for greater researcher involvement in communicating findings to the public, particularly concerning AI applications in emergency contexts. The study highlights a text-to-911 machine translation system capable of 55 languages, identifying common misconceptions about such technologies. It concludes with recommendations for stakeholders involved in the development and deployment pipeline, emphasizing the importance of addressing simpler, often overlooked challenges. AI

IMPACT Highlights the need for clearer communication on AI capabilities and limitations in critical public service applications.

RANK_REASON The cluster contains a research paper published on arXiv discussing AI applications. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Researchers Urge Public Communication on AI in Emergencies

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sara Court, Lara Downing, Micha Elsner ·

    LLMs in the Real World: Evaluating "AI" in Emergency Contexts

    arXiv:2607.00019v1 Announce Type: cross Abstract: This paper offers a call to action. We urge our colleagues in the research community to play a greater role in the articulation of our findings to the public. To illustrate the stakes we present a case study on the initial stages …