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All 8 questions. After you submit, each question shows the right answer and why. Back to the quick check
If most of the photos a computer learns from show one kind of face, it can end up worse at recognising other kinds of face.
Why do people keep some examples back as a 'test set' instead of using them all for training?
A 2021 study checked the test sets of 10 popular datasets for wrongly labelled examples. What did it find?
How many training examples does the MNIST handwritten-digit database contain?
According to NIST, bias in an AI system can only arise if someone involved intended to discriminate.
A model was trained on 2015 shopping data and is deployed in 2026. Which NIST-identified risk is most directly at play?
A language model scores highly on a quiz whose questions and answers were already posted on many websites before the model was trained. Which problem should you suspect?
Name four things that Gebru and colleagues proposed a dataset's datasheet should document, and the engineering practice that inspired the idea.
