Human-centricity: Which responsible-AI principle does this override requirement most directly operationalize?
Requiring a human to review and override AI recommendations operationalizes human-centricity by keeping a person in meaningful control of the decision.
The question
A hospital deploys an AI triage tool and adds a required step where a clinician reviews and can override every AI recommendation before it reaches a patient. Which responsible-AI principle does this override requirement most directly operationalize?
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- Transparency, because clinicians and patients are given a clear public explanation of how the underlying triage model reaches its output.Plausible, as transparency matters here, but an override step concerns control over the decision rather than disclosing how the model works.
- Privacy and security, because the review workflow protects sensitive patient health data from unauthorized access or downstream misuse.Almost right, since health data must be protected, but a clinician override addresses decision authority, not confidentiality of the data.
- Safety and reliability, because the tool is validated to perform consistently and accurately across the full range of patient presentations.Almost right, as safety is relevant, but validating consistent performance is distinct from ensuring a human can override the output.
- Human-centricity, because a person retains meaningful control and final authority over the AI-assisted decision that affects the patient. ✓Correct. Preserving meaningful human control and final authority over consequential decisions is the essence of human-centricity.
The trap
Treating human oversight controls as if they were transparency or safety measures rather than an expression of human-centricity. How to remember it
Requiring a human to review and override AI recommendations operationalizes human-centricity by keeping a person in meaningful control of the decision.
How many of these would you get right?
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