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2 cards from this section. Quick, good the night before a test.
What is fairness in the context of AI?
Think about how equality plays a role in technology.
Name one example of where AI bias has occurred.
Consider areas like justice or hiring.
What principle ensures that AI does not favor one group over another?
Consider which term emphasizes equal treatment in AI.
TRUE or FALSE: The COMPAS algorithm is known for its fairness across demographics.
Recall the issues associated with this specific algorithm.
Design a framework to evaluate the fairness of hiring algorithms in a multinational corporation. Consider different demographic factors.
Think of which aspects of hiring can introduce bias.
Critique the implications of historical bias in AI training data. How can this influence societal structures?
How does data reflect real-world challenges?
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