Practice Accountability (12.2.2) - Ethics and Bias in AI

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9 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does accountability mean in AI?
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Think about who is responsible for decisions.
Question 2.
Why is explainability important for AI systems?
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Consider a situation where doctors need to trust AI recommendations.
3Question 3.
Who should be accountable for decisions made by an AI system?
- Only the developers
- Only the end-users
- Developers and organizations
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Think about the parties involved in AI development.
4Question 4.
Explainability in AI allows users to:
- True
- False
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Consider why understanding is necessary in critical fields.
Question 5.
Design a framework for how accountability should be structured in an AI organization. What roles are essential, and how should they interact?
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Consider the different stakeholders involved in AI development.
Question 6.
Discuss the potential consequences for an organization that fails to ensure accountability in AI. What implications could arise?
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Reflect on recent news about AI system failures and their aftermath.

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