Artificial Intelligence Services for Financial Institutions: Regulatory and Contractual Concerns

    View Authors January 2019

    Artificial intelligence (AI) is being used in fintech at an increasing rate and is poised to have a major impact in the industry. AI applies and refines, or “trains,” a series of algorithms on a large data set in order to identify patterns and make predictions for new data. The US Department of the Treasury, in its recent report, states that “PricewaterhouseCoopers estimated that by 2030, AI technologies could increase North American gross domestic product (GDP) by US$3.7 trillion and global GDP in US$15.7 trillion. Within the financial services sector, large banks report that AI could help cut costs and boost returns.”

    Commentators and regulators have been increasingly grappling with how AI impacts fintech. But practically, how should financial institutions contract for AI services given the evolving regulatory view of AI? Like many other forms of fintech services technology, when financial institutions contract for AI services, they should follow the guidance of the Federal Financial Institutions Examination Council (FFIEC)’s Outsourcing Technology Services’ handbook (Handbook), but the Handbook does not mention AI specifically. As Governor Lael Brainard of the Federal Reserve discussed in her November 13, 2018 speech on AI, financial institutions’ use of AI tools such as “chatbots, anti-money-laundering/ know your customer compliance products, or new credit evaluation tools” will likely be classified as services to the financial institutions.

    So how should financial institutions apply the Handbook to specific AI services? This article addresses certain regulatory concerns about AI currently expressed by financial regulators – specifically, AI bias, explainability and accountability, in order to understand the general guideposts in contracting for AI services. It then addresses certain contractual areas noted in the Handbook that should be accounted for when engaging an AI service provider – specifically, service provider selection, services scope and ongoing monitoring.