A risk assessment team is evaluating an AI system that uses facial recognition to grant physical access to secure facilities. Beyond accuracy, which risk category deserves the MOST emphasis in the risk assessment for this use case?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — you need to focus on differential error rates across demographic groups because facial recognition systems are well-documented to have significantly higher error rates for darker-skinned individuals and women. That creates discriminatory denial of access, which is the biggest risk beyond accuracy.
Full Explanation
The correct emphasis is differential error rates across demographic groups creating discriminatory denial of access, because facial recognition systems are well-documented to have significantly higher error rates for darker-skinned individuals and women. That makes this the primary additional risk beyond accuracy. Camera hardware maintenance requirements and data format incompatibility between the camera system and the artificial intelligence platform are implementation concerns. Model complexity risk from deep neural network architectures is merely technical, not use-case-specific.