NCA-GENL exam dumps

NCA-GENL practice question 207 of 228

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

NCA-GENL Question 207

Select 3

A company is deploying a generative AI model to assist with automated decision-making in hiring processes. To ensure the AI system aligns with ethical principles of trustworthy AI, which of the following considerations should they prioritize?

  1. A

    Ensure the AI model is trained on diverse and unbiased datasets to mitigate discrimination.

  2. B

    Provide transparency into the AI's decision-making process to allow for accountability.

  3. C

    Focus solely on optimizing the performance and efficiency of the AI system.

  4. D

    Implement mechanisms to allow individuals to contest decisions made by the AI model.

  5. E

    Rely exclusively on the AI's recommendations without human oversight to demonstrate trust in technology.

Show answer and explanation

Correct answers: A, B, D

Explanation

Trustworthy AI requires adherence to ethical principles such as fairness, transparency, and accountability. To ensure ethical deployment, companies must use unbiased data, provide transparency into decision-making, and allow for human intervention or review when necessary. These steps help mitigate risks and ensure the AI system operates responsibly.

  • A. Correct.

    Ensuring diverse and unbiased datasets is critical for fairness and mitigating discrimination, making it an essential ethical consideration.

  • B. Correct.

    Transparency and accountability are foundational principles of trustworthy AI, ensuring stakeholders understand and trust the AI system.

  • C. Incorrect.

    While performance and efficiency are important, they should not come at the expense of ethical considerations like fairness, transparency, and accountability.

  • D. Correct.

    Allowing individuals to contest AI decisions promotes fairness and ensures accountability, which are key principles of trustworthy AI.

  • E. Incorrect.

    Exclusively relying on AI without any human oversight can lead to unaccountable errors or biases, violating ethical principles like fairness and accountability.

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