Practice Technical Solutions (4.1.5.1) - Advanced ML Topics & Ethical Considerations (Weeks 14)
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Technical Solutions

Practice - Technical Solutions

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define bias in the context of AI.

💡 Hint: Think about the fairness of AI predictions.

Question 2 Easy

What is historical bias?

💡 Hint: Consider how society's past affects today's AI.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is bias in machine learning?

A random error in predictions
Systematic prejudice in algorithms
A feature of neural networks

💡 Hint: Reflect on how AI treats different demographics.

Question 2

True or False: Representation bias occurs when a dataset lacks diversity.

True
False

💡 Hint: Consider what diverse representation means.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Analyze the potential challenges organizations might face when integrating fairness metrics into their existing AI models.

💡 Hint: Consider the technical and ethical dimensions of AI implementation.

Challenge 2 Hard

Discuss how a lack of accountability in AI systems can lead to societal consequences. Provide an example.

💡 Hint: Think about how human oversight could mitigate risks.

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Reference links

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