Explain like I'm five · AI Theory

What is an AI Risk Management Framework?

An AI risk management framework, told as a story about an operations map that walks the whole station routinely — not just after something breaks.

an accident! quick, react!only after an accident hits does anyone scramble to react

The station scrambles to react only after an accident hits.Nobody had looked ahead at the risk beforehand.

risk in the seedrisk in the sorterrisk in operationsrisk from outside farmswith risk scattered everywhere, each person in charge responds to the same risk differently

Risk is scattered everywhere — from the seed to outside farms.The same kind of risk gets a different response from each person in charge.

an AI risk management framework is a four-stage map that walks the whole station① GOVERNset the principles② MAPfind where risk hides③ MEASUREmeasure risk size, frequency④ MANAGEreduce risk, then look again

An AI risk management framework is a four-stage map that walks the whole station.After one loop through the four stages, it starts over — this isn't a one-time procedure.

① Governsetting principles and accountability first
② Mapfinding where risk hides
③ Measuremeasuring the risk's size and frequency
④ Managereducing the risk, then looking again
WHAT EACH STAGE ACTUALLY DOESgovern — names who's accountable, how often it's reviewedmap — locates bias, attack, and failure pointsmeasure — quantifies likelihood and impactmanage — applies mitigations, then measures again

Each of the four stages has its own concrete job.Principles without execution are just a map hanging on the wall.

the framework can't bring risk to zerobut the framework shrinks risk to a manageable sizerisk management isn't about erasing risk — it's about handling it systematically

The framework doesn't make risk disappear entirely.Each stage of the map follows both the ethics principles and the legal floor (the AI Basic Act).

In one breath

An AI risk management framework = an operations map that walks the whole station through govern, map, measure, and manage.

An AI risk management framework identifies (Map), measures (Measure), and mitigates (Manage) the risks of an AI system, run repeatedly inside an organization-wide accountability structure (Govern). The four functions of NIST's voluntary AI RMF — Govern, Map, Measure, Manage — are the best-known model, and the risk-management plan Korea's AI Basic Act requires for high-impact AI follows a similar flow. This book's 'four stages' are a teaching simplification: in NIST's framework, Govern wraps around the other three functions. It isn't a one-time pass — it loops again every time the model or its environment changes.

When grown-ups say it

AI risk management framework
The operations map that walks the whole station. It doesn't finish after one loop — it keeps going.
NIST AI RMF
The four functions: govern, map, measure, manage. Not a fixed sequence: govern wraps around the other three.
AI ethics & governance
The charter the govern stage leans on. The starting principle this map is built on. → The Grading Charter Every Station Shares
Risk assessment
A term that bundles together the map and measure stages. Answers both where the risk is and how big it is.
Mitigation
The concrete action applied in the manage stage. The execution step that shrinks a measured risk.
AI Basic Act
The minimum risk-management duty the law itself enforces. High-impact AI is legally required to run this kind of risk management.
Residual risk
The risk still left after managing it. The part that admits risk never quite reaches zero.
Supply-chain risk
Risk arriving from outside farms. Why the map stage has to look past the station's own fence.
Next story
Grouping by Likeness, With No Name Tags →
Want another term as a picture book? Request →