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Paper links facial recognition to 'computational epistemicide'

By PulseAugur Editorial · [1 sources] ·

A new paper proposes "computational epistemicide" as a framework to understand how facial recognition systems destroy the face as a living, relational surface. The research argues that by progressively narrowing the face to data points through processes like detection, landmarking, and embedding, these systems create a numerical proxy for identity. This vectorization process reassembles the dissected face into an artifact that circulates across databases, making recognition inseparable from standardization and rendering reformist "ethical AI" insufficient. AI

IMPACT Proposes a critical framework for understanding the harms of facial recognition, suggesting abolition as a normative stance against vectorized identity.

RANK_REASON Academic paper analyzing a specific AI technology and proposing a new conceptual framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Paper links facial recognition to 'computational epistemicide'

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Academic paper analyzing a specific AI technology and proposing a new conceptual framework. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Nina da Hora ·

    Frankenstein in the Pipeline: Computational Epistemicide in Facial Recognition

    arXiv:2606.07628v1 Announce Type: cross Abstract: While the eugenic roots of computer vision are well-documented in critical technology studies, less attention has been paid to the operational mechanisms through which this violence is enacted at the level of the pipeline. This pa…

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