sectorbias
Sector bias refers to a systematic preference or overrepresentation of one or more sectors within a given context, such as data sets, media coverage, investment portfolios, or algorithmic outputs. The term is commonly used in fields where sectors are clearly delineated, including finance, technology, healthcare, and scientific research. In machine‑learning, sector bias arises when training data contains a disproportionate number of samples from specific industry sectors, leading models to perform better on those sectors while under‑performing on less represented ones. This effect can amplify existing inequities, for example, by consistently assigning lower risk scores to sectors that dominate the data set.
In finance, sector bias can describe an investment strategy that deliberately favors certain industries, such as
Media representation demonstrates another form of sector bias, where news outlets disproportionately cover events related to
Preventative measures generally involve the intentional balancing of samples, the use of fairness metrics, and continuous