A new paper proposes a hierarchical human-AI triage model to combat structural inequality in Nigeria's FinTech sector. The model aims to prevent discrimination by distinguishing between genuine fraud and noise caused by infrastructure limitations, such as rural network timeouts. By routing transactions with epistemic uncertainty to human analysts and using a dynamic shadow price to manage attention, the system significantly reduces regional performance gaps and improves fraud recall compared to autonomous systems. AI
IMPACT This research offers a novel approach to mitigating bias in AI systems within the financial sector, potentially leading to more equitable access to digital economies.
RANK_REASON The item is a research paper published on arXiv detailing a new model. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- fintech
- Gotit.pub
- Hugging Face
- Muhammad Abdullahi Said
- Nigeria
- ScienceCast
- We Are All Equal
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