Practice Principles Of Responsible Ai (fate) (3) - AI Ethics, Bias, and Responsible AI

Practice: Principles of Responsible AI (FATE)

Lesson 3AI Ethics, Bias, and Responsible AI

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10 questions

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4 cards from this section. Quick, good the night before a test.
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Quiz
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6 sample questions

Question 1.
What does the principle of fairness ensure in AI?
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Think about equity in AI systems.
Question 2.
What does accountability mean in the context of AI?
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Who takes the blame if something goes wrong?
3Question 3.
What does fairness in AI primarily focus on?
- Maximizing profits for developers
- Avoiding unjust outcomes and discrimination
- Increasing AI complexity
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Think about the groups that might be affected by biased AI.
4Question 4.
True or False: Accountability means being responsible for AI outcomes.
- True
- False
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Who would you ask if an AI makes a mistake?
Question 5.
Evaluate a recent AI system deployment. Did it adhere to the principles of Fairness, Accountability, Transparency, and Ethics? Provide evidence to support your assessment.
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Analyze real-world issues or decisions made by the AI system.
Question 6.
Design a framework for a new AI system that addresses potential biases while promoting fairness and accountability. What features would you include?
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Consider collaboration with stakeholders from various backgrounds.

6 more questions in this section. Enroll free to practise them all.