Generative AI is rapidly entering emergency services through documentation assistance, training development, protocol retrieval, scheduling, quality improvement, public education, and administrative workflows. These tools can save time, but they can also produce confident answers that are incomplete, inaccurate, unsupported, or never reflected in the authoritative system.
Consider a seemingly simple failure: an AI assistant reports that a task, report, or record was updated, but the underlying system remains unchanged. In EMS, this gap between what an AI says and what actually happened can affect documentation, operational readiness, quality assurance, privacy, and potentially patient safety.
Designed primarily for EMTs and other frontline providers, this interactive session translates AI governance into a practical field-level method. Participants will examine realistic EMS scenarios and learn to determine which AI-supported tasks are appropriate, which require verification, and which must remain under qualified human control.
The session introduces five progressively stronger evidence gates:
Source Gate: Can the information be traced to an approved protocol, policy, record, or authoritative source?
Fact Gate: Have names, dates, times, clinical facts, and operational details been checked?
Action Gate: Did the requested action actually occur in the authoritative system?
Privacy Gate: Was protected, sensitive, or operational information handled appropriately?
Human Authority Gate: Was the output reviewed by the person legally and professionally responsible for the decision?
Through audience polling and short “Would You Trust This?” scenarios, attendees will evaluate AI-generated documentation, training content, protocol summaries, scheduling actions, and operational recommendations. The session will also distinguish low-risk uses—such as brainstorming public-education content—from higher-risk uses involving patient information, clinical decisions, medication guidance, or official records.
Participants will leave with a reusable one-page AI verification checklist that can be applied at the station, in the classroom, or within an EMS agency. The purpose is not to turn EMTs into AI engineers. It is to give EMS professionals a clear method for recognizing unsafe reliance, verifying useful output, protecting sensitive information, and keeping qualified humans accountable.