IAPP Artificial Intelligence Governance Professional (AIGP) — Question 20
You are an engineer that developed an AI-based ad recommendation tool.
Which of the following should be monitored to evaluate the tool’s effectiveness?
Answer options
- A. Output data, to assess the delta between the prediction and actual ad clicks.
- B. Algorithmic patterns, to show the model has a high degree of accuracy.
- C. Input data, to ensure the ads are reaching the target audience.
- D. GPU performance, to evaluate the tool’s robustness.
Correct answer: A
Explanation
Monitoring output data is crucial as it allows you to compare predicted ad clicks against actual clicks, providing a direct measure of effectiveness. While algorithmic patterns (B) and input data (C) are important for overall model performance and targeting, they do not directly measure the tool's success in generating ad clicks. GPU performance (D) relates to processing power rather than the effectiveness of the ad recommendations.