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5 cards from this section. Quick, good the night before a test.
What does AI bias refer to?
Think about how training data can influence AI decisions.
Name one ethical issue in AI.
Consider socially relevant topics.
What is a significant ethical issue related to AI?
Consider how AI is formed and what affects its decisions.
True or False: Transparency in AI means that users should not question how decisions are made.
Reflect on what transparency should entail for users.
Analyze a recent news article about AI bias and discuss its implications in your local context.
Look for statistics or quotes that emphasize the impact on various demographics.
Imagine you are an AI ethicist. What policies would you propose to enhance transparency in AI decision-making processes?
Think about how this transparency can be documented and communicated effectively.
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