Practice - Core Concept - 2.3.1
Practice Questions
Test your understanding with targeted questions
What is bias in the context of AI?
💡 Hint: Think about discrimination in AI systems.
What is one form of bias?
💡 Hint: Consider past data influencing AI decisions.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary focus of Explainable AI?
💡 Hint: Consider what makes AI more user-friendly.
True or False: Accountability is irrelevant in AI ethics.
💡 Hint: Remember, whose responsibility it is can matter.
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Challenge Problems
Push your limits with advanced challenges
Propose a comprehensive framework to assess fairness in an AI-driven hiring process.
💡 Hint: Break it down step by step.
Evaluate the implications of using deep learning models in high-stakes environments like healthcare.
💡 Hint: Think about patient outcomes and ethical responsibilities.
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Reference links
Supplementary resources to enhance your learning experience.
- Introduction to AI Ethics
- Understanding Bias in AI
- What is Explainable AI?
- LIME: Local Interpretable Model-agnostic Explanations
- SHAP: A Unified Approach to Interpreting Model Predictions
- AI Fairness in Machine Learning
- Bias in AI: How to Detect, Measure and Mitigate
- Ethical Considerations in AI Development