{
  "id": 1552,
  "url": "https://arxiv.org/abs/2607.10317",
  "title": "Neutralizing Structural Inequality in the Nigerian FinTech Sector",
  "summary": "arXiv:2607.10317v1 Announce Type: cross Abstract: Algorithmic decision systems in financial services often rely on data proxies that inadvertently encode structural inequalities. This paper introduces a hierarchical human-AI triage model for Point of Sale fraud detection in the Nigerian FinTech sector. Adopting a We Are All Equal worldview, we address the challenge of discrimination laundering, wherein the system misinterprets infrastructure related aleatoric noise such as rural network timeouts",
  "authors": "Muhammad Abdullahi Said",
  "category": "research",
  "topics": "bias-fairness,finance-investment",
  "orgs": null,
  "regions": "africa",
  "published_at": "2026-07-14T04:00:00.000Z",
  "fetched_at": "2026-07-14T16:04:12.223Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/1552",
  "original_url": "https://arxiv.org/abs/2607.10317",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}