AI-900 exam dumps

AI-900 practice question 67 of 286

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

AI-900 Question 67

Select 3

A company is developing an AI-powered recommendation system for its e-commerce platform. To ensure transparency in the AI solution, what should the company prioritize?

  1. A

    Providing clear explanations for how recommendations are generated

  2. B

    Ensuring that the AI model's source code is publicly available

  3. C

    Documenting the data sources and their potential biases

  4. D

    Offering users the ability to provide feedback on recommendations

  5. E

    Guaranteeing that the AI system produces 100% accurate recommendations

Show answer and explanation

Correct answers: A, C, D

Explanation

Transparency in AI solutions involves ensuring that users and stakeholders understand how the system operates, its data sources, potential biases, and limitations. Providing explanations, documenting data sources, and enabling user feedback are practical steps to achieve transparency. However, making source code public or guaranteeing perfect accuracy are not necessary for transparency.

  • A. Correct.

    Providing clear explanations for how recommendations are generated helps users understand the AI's decision-making process, which is a key aspect of transparency.

  • B. Incorrect.

    While making the source code publicly available might promote open development, it is not a requirement for transparency in AI solutions.

  • C. Correct.

    Documenting data sources and potential biases ensures that stakeholders understand the limitations and fairness of the AI system, which is crucial for transparency.

  • D. Correct.

    Offering users the ability to provide feedback demonstrates accountability and allows for improvements, aligning with transparency principles.

  • E. Incorrect.

    Guaranteeing 100% accuracy is unrealistic for most AI systems and is not a requirement for transparency. Instead, setting realistic expectations and explaining limitations is more relevant.

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