Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the acronym FATE stand for?
💡 Hint: Think about the principles guiding AI development.
Question 2
Easy
What is data bias?
💡 Hint: Consider where data can come from.
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 does the acronym FATE represent in AI ethics?
- Fun
- Accountability
- Transparency
- Ethics
- Fairness
- Accountability
- Transparency
- Ethics
- Functional
- Able
- Transparent
- Ethical
💡 Hint: Think about what ethical AI should embody.
Question 2
True or False: All AI systems are inherently unbiased.
- True
- False
💡 Hint: Consider the sources of bias in AI.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze a real-world incident where biased AI decisions led to significant social issues. Discuss what went wrong and propose measures to prevent such biases in the future.
💡 Hint: Look into cases where societal trust in AI was damaged.
Question 2
Devise a framework for your organization to ensure fairness in AI. Include aspects such as data collection, algorithm transparency, and stakeholder involvement.
💡 Hint: Consider integrating community feedback into your AI processes.
Challenge and get performance evaluation