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.
A talk goes wrong when it becomes a debate to win. It goes well when people try to understand the same thing.
For I want to start a conversation
Opening
When has a system in care ranked someone we are responsible for, and who was allowed to question it?
What must remain a human judgement even if a model is faster?
Whose data trained the tool that now sits in the room?
How do we speak about benefit without hiding who is left out?
What is one practice we will test, and one we will refuse, this month?
Same questions, denser rooms. Go when you are ready — not as a test of seriousness.
Health-specific guidance
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?'
How to manage, not only name
U.S. National Institute of Standards and Technology
A voluntary framework for putting AI risk into an organisation's ordinary risk practice. Widely referenced; not a law.
You are past 'what can go wrong' and need a cycle: govern, map, measure, manage.