NCA-GENL Question 205
Select 3A company is deploying a generative AI language model for an online customer support system. During testing, they find that the model sometimes generates biased responses based on user input. Which of the following actions align with the ethical principles of trustworthy AI to address this issue?
- A
Regularly monitor and audit the model's outputs for instances of bias.
- B
Ensure transparency by documenting the dataset sources and potential biases in the training data.
- C
Deploy the model immediately and address ethical concerns after gathering user feedback.
- D
Train the model exclusively on private, proprietary data to avoid external biases.
- E
Incorporate user feedback mechanisms to identify and mitigate issues post-deployment.
Show answer and explanation
Correct answers: A, B, E
Explanation
Trustworthy AI requires proactive measures to ensure fairness, transparency, and accountability. Regular monitoring, documenting dataset sources, and incorporating user feedback mechanisms are essential steps to address ethical concerns like bias in generative AI systems. Deploying models without addressing these concerns or relying solely on private data does not align with these principles.
- A. Correct.
Regularly monitoring and auditing the model is essential to ensure fair and unbiased outputs, which is a cornerstone of trustworthy AI.
- B. Correct.
Transparency about training data and potential biases helps stakeholders understand the model's limitations, aligning with ethical AI principles.
- C. Incorrect.
Delaying action until after deployment risks harm to users and violates ethical AI principles, which prioritize proactive measures to ensure trustworthiness.
- D. Incorrect.
Exclusively using private data does not guarantee the elimination of bias and could limit the model's generalizability, making this approach inadequate.
- E. Correct.
Incorporating user feedback allows for ongoing improvements and aligns with the principle of accountability in trustworthy AI.