AI-900 Question 75
Single answerA company is deploying an AI solution to make automated loan approval decisions. Which of the following considerations is most important to ensure accountability in this AI solution?
- A
Implementing detailed logging of the AI system's decisions and actions
- B
Optimizing the AI model to process loan applications faster
- C
Using a larger dataset to improve the model's accuracy
- D
Deploying the AI solution without human oversight to ensure efficiency
Show answer and explanation
Correct answer: A
Explanation
Accountability in an AI solution involves ensuring that decisions made by the system can be traced, explained, and audited. Detailed logging is crucial for achieving this, as it provides a record of how and why decisions were made. While other considerations like speed and accuracy are important, they do not directly address the need for accountability, and removing human oversight can compromise it.
- A. Correct.
Implementing detailed logging of the AI system's decisions and actions is critical because it enables traceability. If there's an issue, the logs can help identify what caused it, ensuring accountability.
- B. Incorrect.
Optimizing processing speed is beneficial but does not directly address accountability. Faster processing does not ensure traceability or responsible decision-making.
- C. Incorrect.
Improving model accuracy is important, but it alone does not ensure accountability. Accuracy improvements need to be paired with mechanisms to track and explain decisions.
- D. Incorrect.
Deploying without human oversight can increase efficiency, but it undermines accountability by removing a key layer of responsibility and monitoring.