Artificial Intelligence

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Join us for a special crossover episode of The Consumer Finance Podcast and Regulatory Oversight, where Chris Willis, Kim Phan, and Gene Fishel delve into the evolving world of state AI legislation. As AI becomes a pivotal tool in the financial services industry, understanding the implications of new laws is crucial. This episode focuses on Colorado’s comprehensive AI law and its potential influence on other states, exploring key issues such as algorithmic discrimination, privacy, and cybersecurity. Gain insights into best practices for compliance and learn how state attorneys general are stepping up enforcement in the absence of federal action. Don’t miss this informative discussion bridging consumer finance and regulatory oversight.

In this episode of the Consumer Finance Podcast, Chris Willis, co-leader of Troutman Pepper Locke’s Consumer Financial Services Regulatory practice, delves into the current state of machine learning and artificial intelligence (AI) models in underwriting and fraud detection. Chris provides an overview of the regulatory expectations set by the Consumer Financial Protection Bureau, including the historical context and recent developments. He discusses the importance of fair lending considerations, the use of less discriminatory alternative analysis, and the skepticism around certain types of alternative data. Chris also explores the potential impact of state regulations and the need for a long-term approach to fair lending risk. Tune in to stay informed about the evolving landscape of AI and machine learning in consumer finance.

In this episode of The Consumer Finance Podcast, Chris Willis is joined by Partner Kim Phan to discuss the latest cybersecurity guidance from the New York Department of Financial Services (NYDFS) concerning artificial intelligence (AI). Released on October 16, this guidance addresses the growing cybersecurity threats posed by AI and provides insights on how financial institutions can mitigate these risks. Kim and Chris delve into the specifics of the guidance, including the expectations for risk assessments, the importance of monitoring AI usage, and practical steps for enhancing cybersecurity measures. They also highlight the dual perspective of AI risks from both external threat actors and internal vulnerabilities, and discuss the potential benefits of integrating AI into cybersecurity strategies. Tune in to gain a comprehensive understanding of how to navigate these new guidelines and stay ahead in the evolving landscape of cybersecurity.

On October 16, the New York State Department of Financial Services (NY DFS) issued an industry letter to entities regulated by NY DFS (covered entities) providing guidance addressing the cybersecurity risks associated with the use of artificial intelligence (AI). The guidance purportedly aims to assist covered entities in understanding and assessing cybersecurity risks associated with threats arising from the use of AI by cybercriminals and the controls that may be used to mitigate those risks. The NY DFS emphasizes that this new guidance does not impose any new requirements on covered entities, but rather it provides an outline for meeting existing compliance obligations under the NY DFS Cybersecurity Regulation, 23 NYCRR Part 500, in light of the advancements in AI technology.

In the latest episode of Payments Pros, host Carlin McCrory is joined by Jason Cover to discuss the role of artificial intelligence (AI) in the payments industry. They define AI and generative AI, highlighting its capabilities in generating text, images, and other data. Jason outlines four key considerations for using AI: ensuring data quality, adhering to applicable laws, understanding AI operations, and maintaining human oversight.