Learn how representative samples and random samples differ and why combining them minimizes sampling bias for accurate data.
Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.
Results that may be inaccessible to you are currently showing.
Hide inaccessible results