AI governance
Also: AI policy, acceptable use policy, AI use policy
The rules an organization sets for which AI tools may be used, for what, and with what checks.
The fuller definition
AI governance is the set of policies, approvals, controls, and records an organization uses to decide which AI tools may be used, for what, by whom, and with what checks.
- Your computer
- Model running on it
- Answer stays on it
Confidentiality depends on the machine and anything else connected to it.
- Your computer
- Provider's servers
- Storage, logs, possibly training
- Answer returned
Confidentiality depends on the contract, the account tier, and the settings in force.
Neither route is safe by default. The question is the same for both: who can see the material, where is it kept, and for how long.
A concrete example
A firm policy lists approved tools, prohibited data, required verification steps, and who approves a new use.
The distinction that matters
A policy document is only a control if it is applied. Training, access settings, and audit records are what make it real.
Related terms
Shadow AI
AI use that a firm has not approved or does not know about. A staff member's personal chat account is one example.
Reliability & securityAudit log
A record of what the system did, when, and on whose instructions.
Reliability & securityConfidentiality
Keeping private material from people who may not see it. Check who can read, store, or share what you put into a tool.
Where it is taught
Map where information goes before using a toolSource and further reading
Law Society of Ontario · Using technologyThe definition and example are written for this library. The link gives background, official documentation or legal authority as labelled. Legal scope depends on the jurisdiction and current text; product features depend on release and settings.