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Responsible AI · 7 min read

The operating questions behind responsible AI

Responsible AI becomes practical when broad principles are translated into decisions that a product team and an operator can see, own and revisit.

01

Purpose and limits

State what the system is for, who it affects and where it must not be used. A narrow purpose makes evaluation and accountability possible.

02

Human authority

Define when a person reviews, overrides or stops the system, and make that path usable in the interface rather than leaving it in policy alone.

03

Evidence over time

Record model, data, prompt, control and performance decisions so changes can be understood. Monitoring should lead to an owner and an action.

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