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CASE STUDYPlease use the following to answer the next question:You have recently assumed the role...

CASE STUDY

Please use the following to answer the next question:

You have recently assumed the role of AI Governance leader for a California-based medical technology company. The organization primarily serves hospitals and has recently expanded to include walk-in clinics located within local pharmacies.

The company ' s core business focuses on diagnostic assistance powered by a large language model LLM and back-office process optimization using Agentic AI, including chatbots, medical record request handling, scheduling and billing.

In preparation for its next round of funding, the board has asked you to prepare an AI Risk report to demonstrate to investors how the company is addressing AI-related risks. In preparing the report you learn that last year the company generated 30 million dollars in gross revenue across the US, EU, India, and South Korea and that vendors are engaged for various activities, including model testing and providing third-party AI solutions for chatbots.

Which of the following would provide you the best information addressing quality principles pertaining to the functioning of the AI agents and LLM?

A.

A monthly log of all input data validation checks showing:

the percentage of anomalous or missing data points that were cleaned

the average time it takes for the LLM to generate a response.

B.

The aggregate count of user feedback:

flagged as Negative or Unsatisfactory over the past 30 days

categorized by language preference.

C.

Real-time system diagnostics tracking:

the total number of model predictions processed daily

the percentage of high-certainty predictions

a summary of code quality scores from internal software testing tools before deployment.

D.

Monthly statistical measures showing:

the percentages of accuracy by user group

the response category

real world change data.

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