AI-900 Question 72
Select 3An organization is deploying a machine learning model to make loan approval decisions. To ensure accountability, which actions should the organization take as part of the AI solution design and deployment?
- A
Ensure the decision-making process of the model is explainable and interpretable.
- B
Assign clear ownership for monitoring and addressing model performance issues.
- C
Rely solely on the training data to ensure biases are eliminated from the model.
- D
Regularly audit the model's outputs to ensure fairness and compliance with regulations.
- E
Avoid human oversight during decision-making to maintain the efficiency of the AI system.
Show answer and explanation
Correct answers: A, B, D
Explanation
Accountability in AI solutions requires actions such as ensuring explainability, assigning clear responsibilities for monitoring, and conducting regular audits to maintain fairness and compliance. These measures help ensure that the AI system operates ethically, transparently, and within regulatory requirements. Relying solely on training data or removing human oversight does not support accountability and can lead to unintended consequences.
- A. Correct.
Ensuring the decision-making process is explainable and interpretable is essential for accountability, as it allows stakeholders to understand how the AI system reaches its conclusions.
- B. Correct.
Assigning clear ownership for monitoring and addressing issues ensures that there is accountability for maintaining the system's performance and ethical standards.
- C. Incorrect.
Relying solely on training data does not guarantee that biases are eliminated. Accountability requires proactive measures to identify and mitigate biases beyond just using the data.
- D. Correct.
Regularly auditing the model's outputs helps ensure that the system adheres to fairness standards and complies with regulations, which are critical components of accountability in AI.
- E. Incorrect.
Avoiding human oversight can lead to unaccountable systems, as human intervention is often necessary to ensure ethical and fair decision-making.