NCA-GENL exam dumps

NCA-GENL practice question 206 of 228

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

NCA-GENL Question 206

Select 3

An enterprise is deploying a Generative AI model and wants to ensure it adheres to the ethical principles of trustworthy AI. Which of the following considerations should they prioritize to align with these principles?

  1. A

    Ensuring the model's outputs are free from harmful biases and promote fairness.

  2. B

    Maximizing the computational efficiency of the model to reduce costs.

  3. C

    Implementing mechanisms for transparency and explainability of the model's decisions.

  4. D

    Providing robust security measures to protect sensitive data used for training and inference.

  5. E

    Focusing solely on achieving the highest possible accuracy for the model, regardless of other factors.

Show answer and explanation

Correct answers: A, C, D

Explanation

The principles of trustworthy AI emphasize fairness, transparency, explainability, and security. These principles ensure that the AI system is ethical, reliable, and respects societal values. While performance metrics like accuracy and efficiency are important, they should not come at the expense of these ethical considerations.

  • A. Correct.

    Ensuring fairness and reducing harmful biases is a core principle of trustworthy AI, as it prevents discrimination and ensures equitable outcomes.

  • B. Incorrect.

    While computational efficiency is important, it is not directly tied to the ethical principles of trustworthy AI.

  • C. Correct.

    Transparency and explainability are critical for trustworthy AI, as they allow users to understand and trust the model's decisions.

  • D. Correct.

    Robust security measures are essential to protect sensitive data, ensuring privacy and compliance with ethical standards.

  • E. Incorrect.

    Focusing solely on accuracy without considering ethical implications can lead to unintended harm and does not align with the principles of trustworthy AI.

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