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3 cards from this section. Quick, good the night before a test.
What is probability?
Think about how we predict everyday events.
Why are recommendation systems important?
Consider how platforms know what to suggest to you.
What does probability measure?
Remember the scale from 0 to 1.
True or False: Misuse of probability in AI can lead to bias.
Think about how unfair predictions can result from bad data.
A bank uses only past income data to decide on loan approval. How could this lead to ethically problematic outcomes?
Think of potential biases stemming from socio-economic backgrounds.
You’re tasked with improving recommendation systems for a music app. What factors would you include to maintain ethical recommendations?
Consider what demographic and social factors could provide a broader perspective.
5 more questions in this section. Enroll free to practise them all.
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