NCA-GENL exam dumps

NCA-GENL practice question 198 of 228

NVIDIA-Certified Associate - Generative AI LLMs. Associate level, NVIDIA. Free question with the correct answer and a full explanation.

NCA-GENL Question 198

Select 3

You are tasked with designing a generative AI system for summarizing medical research papers. Which of the following steps would be essential to ensure the system is ethical, energy-conscious, and reliable?

  1. A

    Implementing bias detection mechanisms to identify and mitigate potential biases in the dataset used for training.

  2. B

    Using energy-efficient hardware accelerators, such as NVIDIA GPUs, and optimized frameworks to reduce the system's carbon footprint.

  3. C

    Prioritizing model size over interpretability to achieve higher accuracy, regardless of computational cost.

  4. D

    Regularly evaluating the model's outputs for factual accuracy and providing mechanisms for human oversight.

  5. E

    Collecting user data without explicit consent to improve the model's performance over time.

Show answer and explanation

Correct answers: A, B, D

Explanation

To create ethical, energy-conscious, and reliable generative AI systems, it is crucial to address bias, minimize environmental impact, ensure factual accuracy, and respect user privacy. These practices are especially important in high-stakes applications like summarizing medical research, where errors or unethical practices can have significant consequences.

  • A. Correct.

    Implementing bias detection mechanisms is critical for ensuring the system's outputs are fair and ethical, especially for sensitive applications like medical research.

  • B. Correct.

    Using energy-efficient hardware and optimized frameworks minimizes the environmental impact of the AI system, aligning with energy-conscious design principles.

  • C. Incorrect.

    Prioritizing model size over interpretability can lead to unnecessary computational cost and reduced transparency, violating energy-conscious and ethical AI principles.

  • D. Correct.

    Evaluating outputs for factual accuracy and incorporating human oversight ensures the system remains reliable and avoids misinformation.

  • E. Incorrect.

    Collecting user data without explicit consent violates ethical guidelines and user privacy, making this an unacceptable practice.

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