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Scholars in fairness and ethics in AI have successfully and critically identified discriminatory outcomes pertaining to the social categories of gender and race. The salient scrutiny of fairness, important for the debate of AI for social good, has nonetheless paid insufficient attention to the criti
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Stored only when both papers are in the corpus — 25 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.