Episode Details
Back to Episodes
Hammed Afenifere on the Local Context AI Compliance Can Miss
Description
This story was originally published on HackerNoon at: https://hackernoon.com/hammed-afenifere-on-the-local-context-ai-compliance-can-miss.
Hammed Afenifere explains why AI compliance and credit systems need local context to accurately assess African businesses and financial activity.
Check more stories related to undefined at: https://hackernoon.com/c/undefined.
You can also check exclusive content about #oneremit-ai-compliance, #ai-credit-assessment-africa, #western-datasets-ai-bias, #local-context-ai-compliance, #african-fintech, #ai-compliance-in-africa, #ai-financial-compliance, #good-company, and more.
This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page,
and for more stories, please visit hackernoon.com.
AI-assisted compliance can struggle when the records a system expects do not reflect how a business actually operates. Hammed Afenifere, co-founder and CEO of Oneremit, argues that African businesses can be difficult for overseas financial institutions to assess because their commercial activity may leave limited online or conventional financial records. His approach to compliance and credit assessment focuses on local operating context, transaction history, and the difference between familiar financial records and the full picture of a business.