A loan company is building a generative AI-based solution to offer new applicants discounts based on specific business criteria. The company wants to build and use an AI model responsibly to…

Question

Options

• ADetect imbalances or disparities in the data.
• BEnsure that the model runs frequently.
• CEvaluate the model's behavior so that the company can provide transparency to stakeholders.
• DUse the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the
• EEnsure that the model's inference time is within the accepted limits.

• A
  66% (23)
• B
  6% (2)
• D
  20% (7)
• E
  9% (3)

Explanation

To build an AI model responsibly and minimize bias, it is essential to ensure fairness and transparency throughout the model development and deployment process. This involves detecting and mitigating data imbalances and thoroughly evaluating the model's behavior to understand its impact on different groups. Option A (Correct): This is correct because identifying and addressing data imbalances or disparities is a critical step in reducing bias. AWS provides tools like Amazon SageMaker Clarify to detect bias during data preprocessing and model training. Option C (Correct): This is correct because evaluating the model's behavior for fairness and accuracy is key to ensuring that stakeholders understand how the model makes decisions. Transparency is a crucial aspect of responsible AI.

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