Practice - Module Objectives (for Week 14)
Practice Questions
Test your understanding with targeted questions
What does bias in machine learning refer to?
💡 Hint: Think about how predictions could unfairly favor one group over another.
What does XAI stand for?
💡 Hint: Consider what this acronym seeks to accomplish in understanding AI decisions.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main purpose of Explainable AI (XAI)?
💡 Hint: Remember the effects of understanding on user confidence.
True or False: Historical bias does not influence AI models.
💡 Hint: Consider how historical events shape data collection.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Evaluate a scenario where an AI system, designed to assist with hiring, exhibits bias against certain demographic groups. Identify potential sources of bias and propose mitigation strategies.
💡 Hint: Consider the completeness of the training data and how it reflects societal inequalities.
Consider a public health AI tool that predicts patient outcomes but shows lower accuracy for certain minority groups. Analyze the ethical implications and suggest a framework for accountability.
💡 Hint: Think about the societal consequences of unequal health outcomes and the role of transparency.
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Reference links
Supplementary resources to enhance your learning experience.