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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does bias in machine learning refer to?
💡 Hint: Consider how a model can treat different groups differently.
Question 2
Easy
What is accountability in AI?
💡 Hint: Think about who is responsible when an AI model makes a mistake.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is bias in machine learning?
- A systematic error favoring one group
- A method of collecting data
- A type of algorithm
💡 Hint: Think about how models can perpetuate existing societal inequalities.
Question 2
Accountability in AI means...
- True
- False
💡 Hint: Consider who should be responsible for AI failures.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Suppose an AI system for loan approval shows a significant bias against a specific demographic group. Draft a plan to identify, mitigate, and monitor this bias.
💡 Hint: Address both pre- and post-deployment phases in your plan.
Question 2
Consider a situation where an AI model used in criminal justice innocently embeds racial bias because of its training data. Propose ethical guidelines and safeguards to prevent such issues.
💡 Hint: Think about balancing technical and ethical safeguards.
Challenge and get performance evaluation