Practice Lack Of Transparency (black Box Problem) (10.3.2)

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6 sample questions

Question 1.
What does the term 'Black Box Problem' refer to?
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Think about how AI makes decisions.
Question 2.
Why is transparency in AI important?
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Consider who must answer for AI decisions.
3Question 3.
What defines the Black Box Problem in AI?
- Transparency in AI models
- Complexity obscuring decision processes
- Simplicity of AI algorithms
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Consider what it means to have a 'black box'.
4Question 4.
True or False: The Black Box Problem can hinder accountability in AI systems.
- True
- False
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Reflect on the effects of transparency and accountability.
Question 5.
Design an AI application that operates transparently. Outline its features and how you would ensure users understand its decision-making process.
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Consider how you would visualize algorithm processes.
Question 6.
Analyze a scenario where an AI system caused a significant error due to the Black Box Problem. Discuss what went wrong and propose a solution.
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Think about how feedback loops could enhance understanding.

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