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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is an adaptive learning system?
💡 Hint: Think about how AI can learn from its environment.
Question 2
Easy
Give a real-world example of predictive decision-making.
💡 Hint: Consider modern technologies like GPS systems.
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 are adaptive learning systems capable of?
- Making pre-programmed decisions
- Evolving and learning from data
- Being static
💡 Hint: Consider how these systems change over time.
Question 2
True or False: Accountability in AI refers to the responsibility for actions taken by AI systems.
- True
- False
💡 Hint: Think about who should be responsible.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Critically analyze a scenario where an adaptive system fails to predict an essential engineering need, affecting public safety. What ethical considerations arise?
💡 Hint: Reflect upon the consequences of such failures in real-life scenarios.
Question 2
You are tasked with designing a new adaptive learning system. What ethical framework would you implement to guide its development and deployment?
💡 Hint: Think about societal impacts and stakeholder values.
Challenge and get performance evaluation