NCA-GENM Question 220
Select 3A company is deploying a multimodal generative AI model for medical image analysis and patient diagnosis. To ensure the AI system is trustworthy, they decide to integrate NVIDIA and other technologies to enhance explainability, fairness, and robustness. Which approaches can they use to achieve this goal?
- A
Use NVIDIA Triton Inference Server to monitor and log model predictions for transparency.
- B
Implement AI explainability tools like NVIDIA RAPIDS to provide insights into model decision-making.
- C
Utilize NVIDIA Morpheus to detect anomalies and ensure data integrity during inference.
- D
Leverage bias detection frameworks such as IBM AI Fairness 360 to identify and mitigate biases in datasets.
- E
Deploy NVIDIA TensorRT to optimize model performance for reduced latency.
Show answer and explanation
Correct answers: A, C, D
Explanation
Ensuring AI trustworthiness involves addressing key aspects such as transparency, fairness, and robustness. NVIDIA Triton Inference Server helps monitor and log predictions for transparency. NVIDIA Morpheus can detect anomalies, enhancing robustness. IBM AI Fairness 360 addresses potential biases, ensuring fairness. These approaches collectively build a trustworthy AI system. On the other hand, tools like NVIDIA TensorRT focus on optimization, which does not directly contribute to trustworthiness.
- A. Correct.
Correct: NVIDIA Triton Inference Server provides capabilities for monitoring and logging model predictions, which is crucial for transparency and accountability in AI systems.
- B. Incorrect.
Incorrect: While NVIDIA RAPIDS accelerates data science workflows, it is not specifically designed for explainability in AI models.
- C. Correct.
Correct: NVIDIA Morpheus is a cybersecurity framework that can also be used to detect anomalies and ensure data integrity, which enhances the trustworthiness of AI systems.
- D. Correct.
Correct: IBM AI Fairness 360 is a widely used open-source toolkit for detecting and mitigating bias, an important aspect of building fair and trustworthy AI systems.
- E. Incorrect.
Incorrect: NVIDIA TensorRT focuses on performance optimization and latency reduction, which are critical for speed but not directly related to improving AI trustworthiness.