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.
School tools, companions, homework, a child's inner life at 2 a.m. You are already in the story.
For I am a parent or caregiver
Opening
What decision about my child's learning or ranking is already being made by a system I cannot see?
Who decided this would be used, and can a family decline without the child being marked?
What data about my child leaves the school, where does it sit, and for how long?
Is this helping them learn, ranking them, or watching them? Those are different jobs.
How is it checked for children who were not in the training set — disability, language, race?
If it is wrong, who notices first, and what is the remedy?
Same questions, denser rooms. Go when you are ready — not as a test of seriousness.
A law with high-risk lists
European Union
The first broad AI law of its kind. It ranks uses, not vibes. Health, education, and some public services sit in the high-risk band.
You need to know which uses of AI a major jurisdiction treats as high-risk — including several in health.
What has already happened
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.
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.