NCA-GENL exam dumps

NCA-GENL practice question 209 of 228

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

NCA-GENL Question 209

Select 3

A company is developing a generative AI-powered chatbot for healthcare advice. During the development process, the team is asked to ensure compliance with ethical principles of trustworthy AI. Which actions should the team prioritize to align with these principles?

  1. A

    Implement safeguards to prevent the chatbot from generating harmful or misleading medical advice.

  2. B

    Ensure the chatbot is transparent by providing clear disclaimers about its limitations and non-human nature.

  3. C

    Focus solely on maximizing the chatbot's accuracy without considering user privacy concerns.

  4. D

    Regularly test the chatbot for biases that could lead to unfair treatment of certain user groups.

  5. E

    Avoid documenting the decision-making process to protect proprietary algorithms.

Show answer and explanation

Correct answers: A, B, D

Explanation

Trustworthy AI requires adherence to ethical principles such as safety, transparency, fairness, and accountability. By implementing safeguards, ensuring transparency, and addressing biases, the team can build a responsible generative AI system. Neglecting privacy or avoiding accountability measures contradicts these principles.

  • A. Correct.

    Implementing safeguards to prevent harm aligns with the ethical principle of safety, ensuring the AI does not cause unintentional harm to users.

  • B. Correct.

    Transparency is a core ethical principle of trustworthy AI. By clearly stating limitations and the non-human nature of the chatbot, users can make informed decisions.

  • C. Incorrect.

    While accuracy is important, neglecting user privacy violates ethical principles, such as respecting user rights and data protection.

  • D. Correct.

    Testing for biases is essential to ensure fairness, another critical ethical principle in trustworthy AI.

  • E. Incorrect.

    Avoiding documentation of decision-making undermines accountability, which is a key ethical principle for ensuring AI systems are responsibly managed.

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