Insights from the inaugural Capital One AI Symposium

At Capital One, we are deeply committed to advancing the frontier of artificial intelligence (AI) to solve meaningful industrywide challenges. 

A key part of this mission is fostering long-term multi-sector ecosystems and partnerships to advance the state of the art. Recently, we hosted our first-ever two-day AI Symposium in McLean, Virginia. The inaugural event was designed to deepen connections and foster insight-sharing between the scientific AI community, leading-edge startups and our own technology, data science and AI/machine learning leaders and partners.

Across the two days, the symposium highlighted a critical shift in how we approach researching and building AI. Rather than siloing talent and insights within the confines of the university environment or the private sector, we must build sustainable, reciprocal models that strengthen both for broad societal benefit.

The AI Symposium showcased how academic research can play a defining role in enterprise without losing its scientific rigor.

The first day focused on the latest breakthroughs in AI and related areas from top academics, applied scientists and engineering leaders. Key themes explored in these academic talks and discussions included:

Human-AI Interaction: Professors Lydia Chilton of Columbia University and Mohit Bansal, director of the University of North Carolina at Chapel Hill MURGe Lab, discussed challenges and opportunities related to trust in AI systems, including the confidence obstacles impeding productivity and how addressing said obstacles can improve real-world applications in medicine, education and beyond. 

Creative Intelligence: Professors Heng Ji of the University of Illinois at Urbana-Champaign and Ellie Pavlick of Brown University explored how models can move beyond simple pattern-matching into complex reasoning to generate entirely novel solutions, alongside deep dives into how AI systems actually process information internally.

Responsible Decision-Making and Quantum: Multi-sector panels, including researchers like Dr. Shih-Fu Chang, dean of Columbia Engineering, and Professor Gaurav Sukhatme, director of Advanced Computing at the University of Southern California, discussed the responsible implementation of AI in finance, the need for multisector innovation and considerations for the intersection of AI and quantum computing alongside experts from scientific federal agencies.

The Academic Summit was enriched by the participation of academic leaders from Capital One’s formal partnerships, including the Capital One University of Southern California Center for Responsible AI and Decision Making in Finance; the Capital One Illinois Center for Generative AI Safety, Knowledge Systems, and Cybersecurity; the Columbia Center for AI and Responsible Financial Innovation; the University of Maryland Center for Machine Learning; the University of North Carolina at Chapel Hill MURGe Lab; the University of Virginia School of Data Science; the University of Virginia School of Engineering; and partners from the National Science Foundation and the Partnership on AI.

The second day focused on the enterprise, exploring how scientific breakthroughs can scale to create real business impact. Highlights included:

Economics of AI: Insights from Professor Jason Furman of the Harvard Kennedy School of Government focused on the emerging macroeconomic impacts of advanced AI. 

Innovations in Infrastructure: Bryan Catanzaro of NVIDIA and Professor Randall Balestriero of Brown University and formerly Meta AI Research offered deep dives into open foundation models and accelerated infrastructure, and the applicability of world models to reliable AI in complex real-world parameters, respectively.

Agentic Coding: Boris Cherny and Laurens van der Maaten from Anthropic explored the future of software engineering and research through the lens of Claude Code.

Startup Showcases: Demos from Capital One Ventures startup partners highlighted the cutting edge of AI monitoring, data infrastructure and conversational applications.

Dialogues and connections facilitated by the Capital One AI Symposium are critically important drivers as we look to the next frontier of enterprise AI. By bringing together the brightest minds across academia, government, big tech, startups and our own enterprise, we are collaboratively building a more intelligent, autonomous and well-managed future. 

We look forward to continuing these vital conversations and further fostering a collaborative ecosystem that attracts world-class talent to the frontier of AI and advances U.S. AI leadership.

Interested in joining the team that’s building the future of AI in finance? Explore our AI Careers page.