LLMs in the Real World: Evaluating "AI" in Emergency Contexts
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 of an LLM-based machine translation application's deployment in a real-world context: a text-2-911 system advertising capabilities in 55 languages for use in emergencies in which it may be difficult to call operators directly. We identify a number of common misconceptions about technologies such as these, concluding with a set of concrete recommendations and best practices for stakeholders at every stage of the development and deployment pipeline. While the advan...
| Authors | Sara Court, Lara Downing, Micha Elsner |
|---|---|
| Primary category | cs.CY |
| Published | 29 May 2026 |
| Last updated at source | 29 May 2026 |
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