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4 cards from this section. Quick, good the night before a test.
Define 'Fairness' in AI.
Think about equality and non-discrimination.
What does 'Transparency' refer to in AI?
Consider what users need to know about AI systems.
What is a key principle of ethical AI?
Think about how we can prevent discrimination.
Transparency in AI is meant to help users...
Reflect on how trust is built with information.
Consider a healthcare AI that misdiagnoses patients due to biased training data. Propose a set of ethical guidelines to prevent such bias.
Think about the sources of bias and how to manage them.
Critically analyze a real-world AI failure that had significant societal impacts. What ethical guidelines were ignored, and how could they mitigate potential risks?
Look for examples where outcomes could have been different with ethical oversight.
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