File: 9 October 2026 · Source date: 9 October 2026
No single risk
Productive artificial intelligence can pose different risks such as misinformation, privacy violation, vulnerability, prejudice and overconfidence. Just because a system produces good text doesn't mean it's reliable in every area.
Manage, map, measure, apply
The NIST approach recommends identifying responsibilities, mapping the context of use, setting up measurable tests, and managing risk based on results. The assessment should be repeated throughout use, not just in the initial version of the model.
The limit of human supervision
The statement “there is human approval” is not a guarantee by itself. The interface that allows the supervisor to recognize time, expertise, independence, and error is important. Resource registration and means of appeal should be available in high-impact decisions.
discussion question
What risk and by what criteria would you first test for an artificial intelligence system you use?
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Established science, active research, and philosophical speculation are clearly separated.