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TRV-2026-0648Certified recordPeer-reviewed

Artificial intelligence, work, and structural inequality: Why human-centric AI requires institutional architecture, not just ethics

BackgroundThe rapid integration of artificial intelligence (AI) into labour markets, migration governance, and social protection systems is increasingly reshaping how institutional decisions are produced, delegated, and enforced. While human-centric and ethics-based AI frameworks have established important normative principles, concerns regarding inequality, opacity, and accountability in AI-mediated decision-making continue to persist across labour-related environments.ObjectiveThis article examines why ethical…

Policy · P Space — documented harm · certified 2026-08-05 · v1 · article view · machine-readable

Current reading — problem

When AI is embedded in labour market and migration governance infrastructure, continuous classification, worker scoring and automated risk assessment can amplify structural inequalities while human oversight becomes procedural under scale and speed.

What this doesn’t fix

Analysis is conceptual and literature-based using illustrative examples rather than new empirical measurement of outcomes across specific labour market systems.

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Truvace Impact Record TRV-2026-0648, v1: “Artificial intelligence, work, and structural inequality: Why human-centric AI requires institutional architecture, not just ethics.” Truvace, 2026-08-05. /record/TRV-2026-0648 (accessed at citation time). sha256 8dd54c2434fd3b33…

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