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.
You should not need a degree to ask what is sitting in the exam room with you.
For I am a patient, or I care for someone who is
Opening
Who is this score for, and what happens if I stop?
Where does this data go — clinician, insurer, advertiser, 'partners'?
What would a leak or a subpoena mean for me?
Is this advice, diagnosis, or a product wearing a white coat?
What is the evidence it helps people like me?
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?'
Database of named risks
MIT AI Risk Initiative
More than 1,700 risks drawn from dozens of existing frameworks. Two maps sit on top: a domain taxonomy (what kind of harm) and a causal taxonomy (who, on purpose, and when).
You are writing a policy, a board paper, or a curriculum and need the source taxonomy.