An AI system used for public benefits eligibility determination denies benefits to 15% more applicants from rural areas compared to urban areas, despite similar economic profiles. The model was trained exclusively on urban data. What governance failure does this MOST directly represent?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because deploying a model trained only on urban data to serve rural populations without assessing representativeness constitutes a governance failure in data quality and pre-deployment testing — a root cause of the disparate outcome. A is an infrastructure issue.
Full explanation below image
Full Explanation
B is correct because deploying a model trained only on urban data to serve rural populations without assessing representativeness constitutes a governance failure in data quality and pre-deployment testing — a root cause of the disparate outcome. A is an infrastructure issue. C may be a technical contributing factor but the governance failure is the lack of representativeness assessment. D is a security concern unrelated to the disparate impact.