NCA-GENM Question 222
Select 3A company is deploying a generative AI multimodal model to generate text and images for medical diagnostics. To ensure trustworthiness in their AI system, they want to implement techniques that reduce bias, increase transparency, and improve model interpretability. Which of the following approaches can they use to achieve this leveraging NVIDIA and other technologies?
- A
Use NVIDIA NeMo Guardrails to enforce safety and ethical guidelines for AI responses.
- B
Train the model on NVIDIA DGX Cloud without performing dataset bias analysis.
- C
Incorporate Explainable AI (XAI) techniques to provide insights into model decision-making.
- D
Utilize NVIDIA Triton Inference Server to ensure real-time model deployment without focusing on model fairness.
- E
Perform data augmentation to create a more balanced and diverse training dataset.
- F
Leverage NVIDIA AI Workbench to monitor and mitigate potential ethical concerns during model development.
Show answer and explanation
Correct answers: A, C, E
Explanation
Improving AI trustworthiness requires addressing safety, ethical guidelines, bias reduction, and interpretability. NVIDIA NeMo Guardrails ensures ethical AI behavior, Explainable AI (XAI) improves transparency, and data augmentation balances the dataset to reduce bias. While deployment platforms like NVIDIA Triton and tools like NVIDIA AI Workbench are useful for other tasks, they do not directly address trustworthiness concerns.
- A. Correct.
NVIDIA NeMo Guardrails provides tools to ensure AI systems follow safety and ethical guidelines, making it a critical component for improving trustworthiness.
- B. Incorrect.
While NVIDIA DGX Cloud is a powerful platform for model training, skipping dataset bias analysis can lead to untrustworthy AI outcomes.
- C. Correct.
Explainable AI (XAI) techniques help users understand how models make decisions, improving transparency and trustworthiness.
- D. Incorrect.
Although NVIDIA Triton Inference Server is excellent for deployment efficiency, it does not inherently address model fairness or ethical concerns.
- E. Correct.
Data augmentation helps reduce bias in the dataset, resulting in a more balanced and trustworthy AI model.
- F. Incorrect.
NVIDIA AI Workbench is primarily a development tool and does not specialize in monitoring or addressing ethical concerns directly.