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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define generative AI.
💡 Hint: Think about how AI can create something new based on data.
Question 2
Easy
What is algorithmic bias?
💡 Hint: Consider how biased data can impact the outcomes of AI systems.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does generative AI do?
💡 Hint: Consider what generative means.
Question 2
Algorithmic bias can lead to unfair outcomes.
💡 Hint: Think about examples where algorithms favored some groups over others.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Given an example of how generative AI could introduce biases in a city planning project. Propose steps to identify and mitigate these biases.
💡 Hint: Consider what data might be excluded in urban planning.
Question 2
Design a framework addressing the ethical implications of using generative AI in civil engineering. What key components would you include?
💡 Hint: Think about what stakeholders might have insights into ethical design.
Challenge and get performance evaluation