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3 cards from this section. Quick, good the night before a test.
What is data?
Think about the different types of information we collect.
Name one automated system that uses AI.
Think about virtual assistants that respond to voice commands.
Why is data important for AI?
Think about what it means for AI to 'learn'.
True or False: Accurate data leads to inaccurate predictions.
Consider what happens when predictions are based on correct data.
Analyze a scenario where biased data leads to poor AI predictions. Discuss the potential consequences and ethical considerations.
Consider real-world examples of biased AI outcomes.
Design a data collection strategy for a new app that aims to improve user engagement. What type of data would be essential?
Identify what data would help understand user behavior best.
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