8.10 - Ethical Considerations in Deep Learning
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Practice Questions
Test your understanding with targeted questions
What is bias in training data?
💡 Hint: Consider how historical biases might persist in data.
Why is model explainability important?
💡 Hint: Think of situations where understanding AI decisions is critical.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What can bias in training data lead to?
💡 Hint: Remember how historical data might affect future decisions.
Is model explainability important for trust?
💡 Hint: Consider the consequences of not understanding decisions.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Discuss how a biased AI model in healthcare could lead to potential harm.
💡 Hint: Consider scenarios involving misdiagnoses or unequal healthcare access.
Evaluate the efforts several tech companies have made to reduce their carbon footprints in AI.
💡 Hint: Research recent sustainability reports from major tech firms.
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