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3 cards from this section. Quick, good the night before a test.
What does bias in AI mean?
Think about fairness in outcomes.
Why is data quality important in AI?
Consider how garbage data affects results.
What is a critical limitation of generative AI?
Think about fairness or bias.
True or False: All data used in generative AI is of high quality.
Consider the quality of data used.
Discuss how a recent event where AI was misused could alter public perception of technology.
Look for news articles illustrating the problem.
Evaluate the impact of bias in AI on a specific industry, such as hiring or lending.
Consider real-world consequences and examples.
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