Recall & Review
beginner
What is Responsible AI?
Responsible AI means designing and using AI systems in ways that are ethical, fair, and safe for everyone.
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beginner
Why is fairness important in AI?
Fairness ensures AI does not treat people unfairly based on race, gender, or other personal traits.
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beginner
What does transparency mean in Responsible AI?
Transparency means making AI decisions clear and understandable to users and developers.
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intermediate
How can bias be reduced in AI models?
Bias can be reduced by using diverse data, testing models carefully, and fixing unfair patterns.
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beginner
What role does privacy play in Responsible AI?
Privacy protects user data from misuse and keeps personal information safe during AI processing.
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Which practice helps make AI decisions understandable?
✗ Incorrect
Transparency means making AI decisions clear and understandable.
What is a key way to reduce bias in AI?
✗ Incorrect
Using diverse data helps reduce bias in AI models.
Responsible AI aims to protect what kind of user information?
✗ Incorrect
Responsible AI protects personal privacy data during AI use.
Fairness in AI means:
✗ Incorrect
Fairness means AI treats all people equally without bias.
Which is NOT a Responsible AI practice?
✗ Incorrect
Ignoring ethics goes against Responsible AI principles.
Explain the main principles of Responsible AI and why they matter.
Think about how AI should treat people and their data.
You got /5 concepts.
Describe practical steps to implement Responsible AI in a machine learning project.
Consider what you do from data collection to deployment.
You got /5 concepts.