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2 cards from this section. Quick, good the night before a test.
What does transparency in AI mean?
Think about the clarity of explanations provided to users.
Give an example of where transparency might be essential.
Consider areas where decisions impact lives.
What is transparency in AI?
Think about whether users can see inside the 'black box' of AI.
True or False: Transparency is unnecessary in low-stakes decisions.
Consider the broader impact of decisions even if they seem minor.
Evaluate a hypothetical AI healthcare system that does not provide transparency in its operations. Discuss the potential risks to patients and the healthcare sector.
Consider how professionals may be held accountable if the AI fails without clear guidelines.
Design a framework for improving transparency in AI decision-making systems. What elements would you include?
Think about the aspects of user engagement and education.
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