AIF-C01 Question 161
Select 3A company is building an AI-powered recommendation system to suggest products to its customers. The development team wants to ensure the system operates responsibly by mitigating bias in recommendations and ensuring transparency in decision-making. Which of the following measures should the team take to achieve this goal?
- A
Regularly audit the recommendation system for biases in training data and outputs.
- B
Ensure that the AI model's decision-making process is explainable to stakeholders.
- C
Optimize the AI system solely for maximum accuracy, ignoring other metrics.
- D
Incorporate diverse perspectives and datasets during the model training phase.
- E
Keep the AI system's decision-making process hidden to protect intellectual property.
Show answer and explanation
Correct answers: A, B, D
Explanation
To build a responsible AI system, it is essential to address potential biases, ensure transparency, and incorporate diverse perspectives in model training. These practices promote fairness, trust, and accountability, aligning with the principles of responsible AI development. Focusing only on accuracy or concealing decision-making processes can undermine these goals.
- A. Correct.
Correct. Regular auditing helps identify and mitigate any biases in the model's training data or outputs, ensuring the system operates responsibly.
- B. Correct.
Correct. Ensuring explainability allows stakeholders to understand how the system arrives at its recommendations, fostering trust and transparency.
- C. Incorrect.
Incorrect. While accuracy is important, focusing solely on it without considering fairness or ethics can result in a biased and irresponsible AI system.
- D. Correct.
Correct. Including diverse datasets and perspectives during training helps reduce biases and ensures the system provides more equitable recommendations.
- E. Incorrect.
Incorrect. Hiding the decision-making process impedes transparency and accountability, which are critical aspects of responsible AI development.