The rapid adoption of artificial intelligence in the financial sector has raised concerns about its impact on customers and the need for responsible innovation. In Kenya, where digital financial services are widely used, millions of customers rely on mobile money for daily transactions. As AI-enabled systems influence these services, errors can have serious consequences, affecting access to financial products or confidence in the financial system.
A recent survey of the banking sector found that while half of the institutions were already using AI, 70 percent did not have a formal AI strategy. The Central Bank of Kenya's Draft Guidance Note on Artificial Intelligence in the Banking Sector aims to address this gap. The note provides an opportunity for regulators and financial institutions to establish a clear framework for the responsible adoption of AI.
The use of AI in financial services can also deepen financial inclusion by providing access to credit and other services for individuals and small businesses with limited formal financial histories. However, this requires responsible AI adoption, with fair, explainable, and reviewable decisions. Customers should not be left without recourse due to automated system decisions. Effective regulation is critical to ensuring accountability and protecting customers.
Regulation should provide clarity on areas such as data governance, consumer protection, and cybersecurity. It should also be principle-based to remain relevant as technologies evolve. The level of oversight should reflect the level of risk, with stronger safeguards and human oversight for high-impact AI applications.
Collaboration between regulators, financial institutions, technology companies, and stakeholders is essential for responsible AI adoption. Regulatory sandboxes and industry dialogue can help identify opportunities and risks, test new use cases, and refine safeguards.
Building internal capabilities, governance, and a culture of responsible AI adoption is crucial for financial institutions. Regulatory compliance is essential but should be the starting point, not the only measure. The goal is to create conditions for innovation to grow safely, responsibly, and at scale.
Ultimately, responsible AI adoption comes down to customer trust. People need confidence that their information is secure, and that important decisions affecting them can be understood and challenged. With the right approach, innovation can flourish while protecting customers and promoting financial inclusion.
Key points
- AI adoption in the financial sector must be done responsibly to protect customers and promote financial inclusion.
- Effective regulation is critical to ensuring accountability and protecting customers in AI adoption.
- Collaboration between regulators, financial institutions, and stakeholders is essential for responsible AI adoption.
