AI-900 exam dumps

AI-900 practice question 262 of 286

Microsoft Azure AI Fundamentals. Free level, Microsoft. Free question with the correct answer and a full explanation.

AI-900 Question 262

Select 3

A company is deploying a generative AI model to create marketing content for its global audience. As part of their responsible AI practices, which considerations should the company include to ensure ethical use of the model?

  1. A

    Ensure the model does not generate content that could reinforce harmful stereotypes.

  2. B

    Allow the model to operate without human oversight to maximize efficiency.

  3. C

    Track and document the data used for training the model to ensure transparency.

  4. D

    Implement safeguards to detect and mitigate potential biases in generated outputs.

  5. E

    Prioritize generating content quickly over ensuring ethical compliance.

Show answer and explanation

Correct answers: A, C, D

Explanation

Responsible AI considerations for generative AI include avoiding harmful stereotypes, ensuring transparency in training data, and addressing potential biases in outputs. These practices help align AI solutions with ethical standards and mitigate risks associated with generative AI usage.

  • A. Correct.

    Ensuring the model does not generate harmful or stereotypical content is essential to maintaining ethical standards and preventing unintended consequences.

  • B. Incorrect.

    Allowing the model to operate without human oversight increases the risk of unethical outputs and violates responsible AI principles.

  • C. Correct.

    Tracking and documenting the data used for training promotes transparency and accountability, which are key aspects of responsible AI.

  • D. Correct.

    Implementing safeguards to detect and address biases helps prevent discriminatory or unjust outputs, aligning with responsible AI practices.

  • E. Incorrect.

    Prioritizing speed over ethical compliance disregards responsible AI principles and can lead to significant legal, ethical, and reputational issues.

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