Technological mismeasurement occurs when digital tools quantify human traits inaccurately, often prioritizing data collection over context. It is used in algorithms for hiring, policing, or credit scoring, where flawed metrics reinforce biases. Companies and institutions benefit by streamlining decisions, while individuals suffer from misrepresentation, eroding fairness and trust in automated systems.
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