AIF-C01 exam dumps

AIF-C01 practice question 197 of 231

AWS Certified AI Practitioner. Associate level, Amazon Web Services. Free question with the correct answer and a full explanation.

AIF-C01 Question 197

Select 3

You are developing an AI-powered recommendation system for an e-commerce platform. To ensure the system follows principles of human-centered design for explainable AI, which of the following actions should you take?

  1. A

    Provide users with clear explanations of how recommendations are generated.

  2. B

    Allow users to give feedback on recommendations to improve the system.

  3. C

    Focus solely on optimizing accuracy metrics, such as precision and recall.

  4. D

    Use visualizations to help users understand the reasoning behind recommendations.

  5. E

    Avoid asking users for input to keep the system fully automated.

Show answer and explanation

Correct answers: A, B, D

Explanation

Human-centered design for explainable AI emphasizes user trust, understanding, and engagement. Actions like providing clear explanations, soliciting user feedback, and incorporating visualizations align with these principles. Focusing solely on accuracy or avoiding user input undermines the goal of creating AI systems that are transparent and user-friendly.

  • A. Correct.

    Providing clear explanations helps users understand how the system works, building trust and aligning with human-centered design principles.

  • B. Correct.

    Allowing users to give feedback ensures the system can adapt to user-specific needs and preferences, which is a key aspect of human-centered design.

  • C. Incorrect.

    Focusing only on accuracy metrics ignores user experience and explainability, which are critical components of human-centered design.

  • D. Correct.

    Visualizations can simplify complex AI processes, making it easier for users to understand and trust the system.

  • E. Incorrect.

    Avoiding user input contradicts human-centered design, which emphasizes active user engagement and feedback.

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