Ask

Questions you can actually ask.

Say who you are and what is in front of you. You will get questions to take to a visit, a huddle, a pitch, or a kitchen table.

Who is asking?

What is in front of you?

A scoring error here becomes a body. The job is still the same: name the complication, prepare, proceed with care.

For I am a doctor, nurse, or clinician

An ambient scribe is in the room

Opening

What must remain a human judgement even if the note is faster?

Take these

  1. 01

    Was the patient told, in words they can refuse, before the recording started?

  2. 02

    What is the clinician expected to review, and is that time actually in the day?

  3. 03

    How will we know if it fabricates, omits, or smooths away what the patient actually said?

  4. 04

    Who is liable if a hallucinated allergy, dose, or history is acted on?

  5. 05

    Does it work as well in this language, this accent, this exam room?

If you want the specialist shelf

Same questions, denser rooms. Go when you are ready — not as a test of seriousness.

Health-specific guidance

Ethics and governance of AI for health — large multimodal models

World Health Organization

WHO's 2024 guidance on large multimodal models in health: consent, evidence, equity, and the duties that remain with clinicians and states.

The question is not 'is AI risky?' but 'what does care require of this tool?'

What has already happened

AI Incident Tracker

MIT × Responsible AI Collaborative

Thousands of reported incidents from the AI Incident Database, classified with MIT's taxonomies and a harm-severity scale. Graphs of what is already in the world, by year, domain, and cause.

Someone says 'that's hypothetical' and you need the public record.