Practice Explainability (3.1) - The Future of AI – Trends, Challenges, and Opportunities

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10 questions

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Quiz
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6 sample questions

Question 1.
What does explainability in AI mean?
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Think about transparency in AI.
Question 2.
Name one reason why trust is important in AI.
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Consider how you use technology.
3Question 3.
What is explainability in AI?
- A. Trust in AI systems
- B. Understanding AI decisions
- C. Simple algorithms
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It involves transparency.
4Question 4.
True or False: Auditability helps ensure AI systems are compliant with regulations.
- True
- False
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Think about accountability.
Question 5.
Design an AI system for loan approvals and explain how you would ensure its decisions are explainable.
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Consider what information users need to trust the decisions.
Question 6.
Evaluate the implications of a lack of explainability in a self-driving car technology scenario.
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Think about accidents and liability issues.

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