NCA-GENM Question 219
Select 3A team is deploying a multimodal generative AI model for a healthcare application that generates medical reports from radiology images and patient data. To ensure AI trustworthiness, they need to address concerns about model bias, transparency, and reliability. Which of the following strategies can be used to improve AI trustworthiness using NVIDIA and other technologies?
- A
Utilize NVIDIA TensorRT to optimize model inference speed and reduce latency.
- B
Leverage NVIDIA NeMo Guardrails to enforce ethical and safe AI outputs.
- C
Incorporate explainable AI tools such as SHAP or LIME to provide insights into model predictions.
- D
Use NVIDIA AI Workbench to monitor real-time model accuracy during deployment.
- E
Perform model retraining with diverse dataset augmentation to reduce bias in predictions.
Show answer and explanation
Correct answers: B, C, E
Explanation
Improving AI trustworthiness involves addressing concerns such as safety, ethical behavior, transparency, and bias. NVIDIA technologies like NeMo Guardrails enforce ethical AI outputs, while explainable AI tools provide transparency by revealing how models make decisions. Additionally, retraining models with diverse datasets reduces bias, making predictions more fair and reliable. These combined strategies ensure that AI systems meet trustworthiness standards in critical applications like healthcare.
- A. Incorrect.
While NVIDIA TensorRT is a powerful optimization tool for inference speed and efficiency, it does not directly address trustworthiness aspects such as bias, transparency, or ethical concerns.
- B. Correct.
NVIDIA NeMo Guardrails is specifically designed to enforce safety, ethical boundaries, and trustworthy AI outputs, making it a key technology for improving AI trustworthiness.
- C. Correct.
Explainable AI tools like SHAP (SHapley Additive exPlanations) or LIME (Local Interpretable Model-agnostic Explanations) provide insights into how models make decisions, improving transparency and trustworthiness.
- D. Incorrect.
NVIDIA AI Workbench is a development tool for AI workflows, but it does not inherently provide mechanisms to monitor or enhance trustworthiness aspects like bias or transparency.
- E. Correct.
Retraining models with diverse datasets and using data augmentation techniques can reduce bias in predictions, significantly contributing to the trustworthiness of AI systems.