Elena Shtern’s Post

A week ago, I had the pleasure of attending the inaugural #AI Symposium conference organized by #FinRegLab. The event brought together an outstanding lineup of financial regulators (it was great to meet some of my customers there!), technologists, industry practitioners, members of Congress, and academic leaders. AI and its impact were top of mind for everyone, and the discussions covered a wide range of critical topics, including: * Use cases with immediate benefits: Generative AI (GenAI) has the potential to transform the customer experience, delivering real and tangible improvements for consumers. * AI implementation and trust: Trust remains the cornerstone of financial services, and the implementation of AI systems must prioritize transparency, accountability, and fairness. * The regulatory balancing act: How do we regulate AI to ensure it is trustworthy, fair, and safe without stifling innovation? As Larry Summers stated, "Regulation should focus on issues, not technology." Financial regulators are increasingly supporting innovation by encouraging private companies to test new products and services through regulatory sandboxes. * Broader societal implications: Will AI enhance or hinder workers' prosperity? How can we ensure that the benefits of AI—such as productivity gains and efficiency—are shared across society rather than concentrated among a few? These topics are central to what we do at #SAS and guide how we develop and deploy our technology.

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