30.7 - Challenges in AI and ML Implementation in Civil Engineering
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Practice Questions
Test your understanding with targeted questions
What is a labelled dataset?
💡 Hint: Think about what is needed to train a model.
Name one data challenge in AI.
💡 Hint: Consider what is necessary to teach an AI system.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What are the challenges related to data in AI implementation?
💡 Hint: Think about data quality for AI systems.
True or False: High computing power is not necessary for AI and ML applications.
💡 Hint: Consider what is needed to run deep learning models.
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Challenge Problems
Push your limits with advanced challenges
Evaluate how inadequate data can lead to safety failures in construction projects. Propose solutions to mitigate this risk.
💡 Hint: Consider realistic methods of gathering accurate data.
Discuss the potential ethical ramifications of implementing biased AI systems in civil engineering. Provide examples and remedies.
💡 Hint: Think about real-life scenarios where bias could affect safety.
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