AIF-C01 Question 160
Select 3A company is using AWS services to develop an AI system for detecting fraudulent transactions in real-time. To ensure the system is responsible, they want to address potential biases in the training data and ensure compliance with relevant regulations. Which steps should the company take as part of building a responsible AI system?
- A
Perform data preprocessing to identify and mitigate biases in the training dataset.
- B
Incorporate explainability tools like Amazon SageMaker Clarify to evaluate model predictions.
- C
Use Amazon Rekognition to automatically generate synthetic data to balance the dataset.
- D
Regularly audit the AI system to ensure compliance with applicable laws and regulations.
- E
Enable AWS Shield to protect the AI system from distributed denial-of-service (DDoS) attacks.
Show answer and explanation
Correct answers: A, B, D
Explanation
Developing a responsible AI system requires addressing bias, maintaining transparency, and ensuring compliance with regulations. Preprocessing the data to mitigate bias, using explainability tools for transparency, and auditing the system for compliance are all essential steps. Security measures like AWS Shield, while important, do not directly address these aspects, and synthetic data generation is not relevant in this context.
- A. Correct.
Performing data preprocessing to identify and mitigate biases is a critical step in ensuring the AI system is responsible and produces fair outcomes.
- B. Correct.
Explainability tools like Amazon SageMaker Clarify help assess how the model makes predictions, promoting transparency and accountability in the AI system.
- C. Incorrect.
While synthetic data generation can be helpful in some cases, Amazon Rekognition is not a tool designed for this purpose. This option is irrelevant to ensuring a responsible AI system.
- D. Correct.
Regular audits ensure that the AI system continues to comply with laws and regulations, a key aspect of responsible AI development.
- E. Incorrect.
While enabling AWS Shield is important for system security, it does not contribute directly to building a responsible AI system focused on fairness, transparency, or compliance.