NCA-GENL Question 219
Select 4A team is deploying a generative AI model for a healthcare application and is concerned about ensuring trustworthiness in the model's outputs. Which of the following approaches using NVIDIA and related technologies can help improve the AI's trustworthiness?
- A
Implementing explainability techniques with NVIDIA RAPIDS to provide insights into model predictions
- B
Using NVIDIA Triton Inference Server to perform model monitoring and detect data drifts in real-time
- C
Incorporating pre-trained, domain-specific models from NVIDIA NeMo to ensure model accuracy and reliability
- D
Using uncurated, large-scale datasets for training to ensure diverse data representation
- E
Leveraging NVIDIA Morpheus for real-time cybersecurity threat detection and privacy preservation
Show answer and explanation
Correct answers: A, B, C, E
Explanation
Improving trustworthiness in AI systems involves a combination of strategies, including explainability, monitoring, domain-specific model optimization, and ensuring privacy/security. NVIDIA technologies like RAPIDS, Triton Inference Server, NeMo, and Morpheus provide tools to address these aspects. However, relying on uncurated datasets can negatively impact trustworthiness by introducing noise and bias.
- A. Correct.
Implementing explainability techniques with NVIDIA RAPIDS provides transparency into the model's decision-making process, helping to build trust in its outputs.
- B. Correct.
NVIDIA Triton Inference Server supports monitoring and detecting data drifts, which ensures the model remains reliable and trustworthy in production environments.
- C. Correct.
Pre-trained, domain-specific models from NVIDIA NeMo are optimized for specific use cases, reducing errors and increasing confidence in the model's output.
- D. Incorrect.
Using uncurated, large-scale datasets could introduce biases and inconsistencies, undermining the trustworthiness of the AI system.
- E. Correct.
NVIDIA Morpheus can be used to ensure data privacy and security, which is critical for trustworthiness in sensitive applications like healthcare.