32.10 - Challenges and Limitations
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Practice Questions
Test your understanding with targeted questions
What is meant by 'data quality' in the context of AI?
💡 Hint: Think about the importance of data in making predictions.
What are black-box models?
💡 Hint: Consider what transparency means in decision-making.
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Interactive Quizzes
Quick quizzes to reinforce your learning
Why is data quality important in AI models?
💡 Hint: Think about what happens when data is not reliable.
True or False: Black box models are transparent and easily understood.
💡 Hint: Consider the meaning of transparency in AI.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Propose a comprehensive strategy for ensuring data quality in an upcoming infrastructure project that employs AI. Include steps for data sourcing, validation, and bias mitigation.
💡 Hint: Think about how you can involve different roles for a better data strategy.
Develop a framework for addressing ethical and legal concerns related to AI use in civil engineering projects, considering accountability and privacy issues.
💡 Hint: Consider what organizations are currently doing to address these issues.
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