One signal

AI risk should shape how much freedom a system gets, argues Imran Aftab, CEO of 10Pearls, in a Forbes Council essay. His four checks are whether a mistake can be reversed, how much harm it could cause, what regulations apply, and whether the system’s decisions can be explained and audited.

Aftab’s practical point is to match oversight and testing to the answers: high-stakes uses may need human review or no AI at all. It is a proposed framework, not evidence that scoring risk this way guarantees a system is safe. Still, it gives teams a useful set of questions before another pilot acquires the autonomy of a small department.

Discuss: Should AI systems earn more autonomy only after passing a documented risk score, or is that too blunt a test for real-world use?

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