Practice Holistic And Continuous Approach (1.3.4) - Advanced ML Topics & Ethical Considerations (Weeks 14)
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Holistic and Continuous Approach

Practice - Holistic and Continuous Approach

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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 implications of unequal treatment.

Question 2 Easy

What is the goal of fairness in AI systems?

💡 Hint: Consider equal outcomes across demographics.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main purpose of implementing fairness in AI?

To optimize performance
To reduce operational costs
To ensure equitable treatment

💡 Hint: Think about the goals of ethical AI.

Question 2

Is bias in AI systems an indication of a flawed model?

True
False

💡 Hint: Consider the impact of historical data.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are tasked with developing an AI system for lending. Discuss how you would address potential biases and what accountability measures would you implement.

💡 Hint: Consider all stages of AI implementation.

Challenge 2 Hard

Propose a framework for continuous monitoring of an AI system that ensures privacy while fostering transparency.

💡 Hint: Focus on maintaining a balance between privacy and clarity.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.