TRV-2026-2307Certified recordPeer-reviewed

Is There Fairness in AI?

Abstract As predictive artificial intelligence (AI) technologies increasingly steer workplace decisions, debates around fairness have intensified. Existing research often approaches fairness either as a set of universal principles supported or undermined by algorithms, or as a product of social interpretations, thereby providing either technologically deterministic or purely social accounts. Drawing on an ethnographic study of a human resources (HR) department of a large international company that introduced AI…

Labor · Problem Space — documented harm · certified 2026-10-29 · v1 · article view · machine-readable

Current reading — problem

After an international company introduced AI in hiring, HR's own version of fairness displaced the fairness practices of other experts, narrowing who defined fair hiring.

What this doesn’t fix

The findings come from an ethnographic study of a single HR department at one large international company, so the abstract does not show that the pattern holds elsewhere.

Evidence

Reader signal

How should this claim be treated?

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Truvace Impact Record TRV-2026-2307, v1: “Is There Fairness in AI?.” Truvace, 2026-10-29. /record/TRV-2026-2307 (accessed at citation time). sha256 89d9057e9fb2ee04…

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