As algorithms shape financial inclusion, accountability must keep pace

For Opeoluwa, a young entrepreneur struggling to access credit in Nigeria's thriving fintech sector, the decision to deny her loan application by a digital lending platform was a bitter pill to swallow. Despite having a stable source of income and a history of responsible financial behavior, Opeoluwa was left in the dark as to why her application was rejected. The platform's generic statement that the application did not meet their risk criteria was little comfort to her. This is the harsh reality of financial inclusion in Nigeria, where algorithms are increasingly making decisions that affect people's financial lives.

The exponential growth of Nigeria's fintech sector has brought about numerous benefits, including increased financial inclusion and access to credit. According to the EFInA's 2023 Access to Financial Services Survey, formal financial inclusion in Nigeria rose to 64% in 2023, up from 54% in 2020. However, this growth has also led to a critical question: who is accountable when an algorithm makes the wrong decision? The use of artificial intelligence (AI) in credit decisions has created a significant information imbalance between service providers and consumers. Customers typically have no visibility into the metrics being used to assess them, no meaningful opportunity to challenge those metrics, and little understanding of how a decision was reached.

The AI-powered systems used by digital lending platforms are often based on proprietary models controlled entirely by the financial institution. This creates a power imbalance, where customers are at the mercy of the algorithm without any means to challenge its decisions. The lack of transparency and accountability in AI-driven decisions undermines fundamental consumer protection principles such as transparency, fairness, and the right to seek redress. Opeoluwa's experience is not an isolated incident; many Nigerians are facing similar challenges in accessing credit due to the opaque nature of AI-driven decisions.

As Nigeria continues to deepen financial inclusion, it is essential to address the accountability gap created by AI-driven decisions. The government and regulatory bodies must take a proactive approach to ensure that financial institutions are transparent about their AI models and decision-making processes. This includes providing customers with clear information about the metrics used to assess them and allowing them to challenge those metrics. The lack of regulation in this sector has created a Wild West scenario, where financial institutions are free to operate with little oversight. It is only a matter of time before the consequences of this lack of accountability become apparent.

As AI continues to shape financial inclusion in Nigeria, it is essential to anticipate the potential consequences of this trend. If left unregulated, the use of AI in credit decisions may exacerbate existing social and economic inequalities. The lack of transparency and accountability may lead to a situation where certain groups are systematically excluded from accessing credit, perpetuating the cycle of poverty. It is crucial that the government and regulatory bodies take a proactive approach to ensure that AI-driven decisions are fair, transparent, and accountable.

The use of algorithms in financial inclusion is a double-edged sword. While it offers enormous potential for efficiency and scalability, it also creates a significant accountability gap. As Nigeria continues to deepen financial inclusion, it is essential to address this gap and ensure that AI-driven decisions are transparent, fair, and accountable. The government and regulatory bodies must take a proactive approach to regulate the use of AI in credit decisions, providing customers with clear information about the metrics used to assess them and allowing them to challenge those metrics. The future of financial inclusion in Nigeria depends on it.