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Is There Fairness in AI?

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Fairness constantly redefined through interactions between professional HR mandates and AI technologies, sustaining their symbiosis.
Key finding shows AI's introduction alters traditional fairness, favoring practices defined by HR rather than experts.
Sociomaterial perspective unveils how values are enacted with AI, impacting workplace decision-making processes.
Understanding fairness in AI involves examining how algorithms and professional practices shape each other over time.

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Ethnographic analysis reveals how fairness in AI evolves through workplace practices and values in HR.

Broek et al. (2025) studied this question.

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