AI-900 exam dumps

AI-900 practice question 44 of 286

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

AI-900 Question 44

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You are developing an AI solution to analyze customer feedback for a retail company. The solution will use sentiment analysis to determine if customer reviews are positive or negative. Which of the following guiding principles for responsible AI should you prioritize to ensure the solution is ethical and unbiased?

  1. A

    Fairness: Ensure the model does not favor certain groups or demographics in its analysis.

  2. B

    Reliability and Safety: Regularly test the model to ensure consistent and accurate predictions.

  3. C

    Inclusiveness: Design the solution to accommodate feedback from diverse groups of users.

  4. D

    Transparency: Clearly explain to users how the sentiment analysis model works and its limitations.

  5. E

    Cost Efficiency: Optimize the AI solution to reduce operational costs for the company.

Show answer and explanation

Correct answers: A, B, C, D

Explanation

The guiding principles for responsible AI include fairness, reliability and safety, inclusiveness, and transparency. These principles ensure that AI systems operate ethically, avoid bias, and are accessible and understandable to all users. Cost efficiency, while valuable from a business perspective, is not a principle of responsible AI and does not directly contribute to the ethical development of AI solutions.

  • A. Correct.

    Fairness is crucial to ensure the AI model does not introduce or amplify bias, which is an essential principle of responsible AI.

  • B. Correct.

    Reliability and Safety are key to building trust in the system by ensuring it delivers consistent and accurate results over time.

  • C. Correct.

    Inclusiveness ensures that the solution considers diverse perspectives and meets the needs of all users, which is a critical aspect of responsible AI.

  • D. Correct.

    Transparency involves providing users with clear information about how the AI system works, helping to build trust and accountability.

  • E. Incorrect.

    Cost Efficiency, while important for business operations, is not a guiding principle for responsible AI. The focus of responsible AI is on ethics, fairness, and accountability rather than cost reduction.

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