What's Happening?
The Office of the Comptroller of the Currency (OCC) has released a new supervisory framework to guide bank examiners in evaluating the use of 'super intelligence' (SI) by banks. This term, 'super intelligence,' is now used in place of 'artificial intelligence' following
a recent executive order and encompasses generative and agentic technologies. Banks are employing SI in various activities, including credit decisioning, payments, fraud detection, and customer service. While acknowledging the potential benefits of SI, such as faster customer service, improved fraud detection, and reduced costs, the OCC's framework outlines how examiners should assess SI-specific risks within banks' existing risk management practices. The framework is intended as a resource for examiners to tailor their evaluations based on the materiality of each SI use case, rather than as a source of new supervisory expectations or prescriptive requirements for banks. It organizes 16 supervisory components into six pillars to help examiners assess how SI may affect existing controls and focus their oversight based on risk.
Why It's Important?
This framework is crucial for the U.S. banking sector as it addresses the rapidly evolving landscape of advanced technology adoption. By providing guidance for examiners, the OCC aims to ensure that banks can leverage SI's benefits while effectively managing associated risks. The framework's emphasis on integrating SI risk assessment into existing risk categories (operational, compliance, credit risk) rather than creating a separate SI risk category suggests a pragmatic approach to regulation. This helps banks avoid redundant compliance efforts and encourages them to adapt their current risk management systems. For fintechs and other providers serving banks, the framework offers insights into the questions their bank customers and examiners will likely ask, influencing product development and partnership strategies. Ultimately, this initiative seeks to foster responsible innovation in banking, protecting consumers and the financial system from potential harms while allowing for technological advancement.
What's Next?
The OCC anticipates revisiting this framework as SI deployments expand, technology advances, and supervisory experience grows, indicating an adaptive regulatory approach. Banks are advised to consider how their SI use cases map onto existing control frameworks and to prioritize deployments that could move funds, affect credit decisions, or cause difficult-to-reverse customer harm. Practical starting points for banks include assessing the feasibility of human oversight, extending testing beyond expected outputs, and ensuring provider arrangements permit effective intervention. Both banks and technology providers will need to monitor further OCC updates to stay abreast of evolving supervisory expectations. This framework sets the stage for ongoing dialogue and refinement of regulatory practices as SI becomes more integrated into core banking operations, potentially influencing future policy decisions and industry best practices.
Beyond the Headlines
The introduction of a supervisory framework for 'super intelligence' in banking reflects a broader societal and governmental effort to grapple with the implications of advanced AI. The shift in terminology from 'artificial intelligence' to 'super intelligence' by executive order suggests a recognition of the increasingly sophisticated and autonomous capabilities of these technologies. This development raises profound questions about accountability, ethical considerations, and the potential for algorithmic bias in critical financial decisions. The OCC's approach, which links the strength of safeguards to the potential harm an SI deployment could cause, highlights a growing awareness of the need for 'responsible AI' in high-stakes sectors. This framework is not just about financial regulation; it's a step towards defining the societal boundaries and governance models for powerful new technologies that will reshape industries and daily life.













