AI-900 exam dumps

AI-900 practice question 61 of 286

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

AI-900 Question 61

Select 3

You are developing an AI-driven customer support chatbot for a global e-commerce platform. To ensure inclusiveness in the AI solution, which of the following considerations should you prioritize?

  1. A

    Ensure the chatbot supports multiple languages to accommodate users from different regions.

  2. B

    Train the chatbot only on data from the majority customer demographic to improve efficiency.

  3. C

    Design the chatbot to recognize and respond appropriately to diverse cultural expressions and idioms.

  4. D

    Avoid addressing accessibility concerns, as they are not relevant to inclusiveness in AI solutions.

  5. E

    Test the chatbot with a diverse group of users to identify potential biases and usability issues.

Show answer and explanation

Correct answers: A, C, E

Explanation

Inclusiveness in an AI solution means designing and testing the system to accommodate diverse user groups, including different languages, cultures, and accessibility needs. By supporting multiple languages, recognizing cultural diversity, and testing with diverse groups, the AI solution can minimize biases and ensure it works effectively for all users.

  • A. Correct.

    Supporting multiple languages ensures the AI solution is accessible to a wide audience, promoting inclusiveness.

  • B. Incorrect.

    Training the chatbot on data from only the majority demographic can introduce biases and exclude minority groups, which contradicts inclusiveness principles.

  • C. Correct.

    Recognizing and responding to diverse cultural expressions ensures the AI is relevant and respectful to users from different backgrounds.

  • D. Incorrect.

    Accessibility is a critical component of inclusiveness, and avoiding it would result in a solution that excludes users with disabilities.

  • E. Correct.

    Testing the chatbot with a diverse group of users helps identify biases and usability issues, ensuring the solution works effectively for everyone.

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