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CONCEPT

Epistemic Inequality

Zuboff's concept for the asymmetry between those who possess knowledge about systems and those who are known by systems—amplified by AI to include cognitive sorting.
Epistemic inequality is the systematic asymmetry of knowledge that surveillance capitalism produces and depends upon. The platforms know users—in granular, intimate, predictive detail—while users do not know the platforms, cannot see the mechanisms that classify them, cannot contest the predictions made about them, cannot even know that they are being sorted. This asymmetry is not incidental. It is structural, foundational to the business model. If users knew how their data was being used, they might object. If they could see the criteria by which they were being classified, they might contest them. If they understood the predictions being sold about them, they might refuse to generate the data. The opacity is not a bug. It is the condition that makes extraction possible. Zuboff's framework identifies epistemic inequality as more consequential than economic inequality for democratic governance, because knowledge asymmetry determines who can act—who possesses the information required to navigate systems, challenge power, and exercise meaningful choice.
Epistemic Inequality
Epistemic Inequality

In The You On AI Field Guide

In the AI transition, epistemic inequality operates

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