Construct · 1 fields · 1 citations

representation bias: a standalone construct

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Machine learning

a source of harm in machine learning that arises when the development sample under-represents part of the population the model will serve.

In machine learning, representation bias refers to a source of harm in machine learning that arises when the development sample under-represents part of the population the model will serve. This meaning comes from Suresh (2021) in Equity and Access in Algorithms, Mechanisms, and Optimization.[1]

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Nearby constructs

aggregation bias1 fields · 1 citationsanchor · a standalone construct historical bias1 fields · 1 citationsanchor · a standalone construct bias6 fields · 8 citationsjingle · one name, six constructs

References

Suresh, H., & Guttag, J. (2021). A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle. Equity and Access in Algorithms, Mechanisms, and Optimization. https://doi.org/10.1145/3465416.3483305

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