Propelling AI and Finance

Last week, Chicago became a crossroads for the sharpest minds at the intersection of machine learning and economics. Attendees spent two days diving into the applications of AI in the financial landscape alongside the Federal Reserve Bank of Philadelphia at the second annual Conference on Frontiers in Machine Learning and Economics. The importance of collaboration became increasingly evident as researchers from across the world presented their research, and discussants took the stage to highlight and integrate their constructive contributions and feedback for continued progress and innovation.

Reimagining Economics in the Age of Machine Learning

Kicking off the conference were researchers from the University of Pennsylvania, Durham University and Tsinghua University, collaborating on a paper about AI Inventions and Talent Migrations in the US and China. The paper itself, presented by Hanming Fang, Norman C. Grosman Professor of Economics at University of Pennsylvania, highlighted and quantified the growing relevance of AI. “As we applied our model and algorithm to the whole dataset in China and the US, we found that by 2022, in both countries, about 20% of all patents now pertain to AI.” The global pertinence of the topic set the tone for a diverse array of themes that were discussed.

Panelists expanded beyond emerging issues in international innovation and dove into dynamic conversations about the evolving narrative of inflation across the past century, the use of machine learning in financial analysis and the ethical questions that do and should guide ethical decision making. Ranging from creative applications of generative AI and advances in large language models to in depth explorations of finance, pricing and the societal impacts of market automation, the conference maintained a central theme: that innovation is not simply about creating new algorithms to solve novel problems, but also considering new ways of approaching an answer to long-standing questions.

“Science increasingly drives technology; technology increasingly drives the economy. AI is just the latest in an increasing number of examples” said Lee Fleming, Coleman Fung Chair of Engineering Leadership at UC Berkeley. Fleming captured the importance of the multifaceted gathering in driving growth at the intersection of technology and economics. Lively discussions showed that progress thrives where different disciplines, approaches, and perspectives converge to drive conversations that inspire breakthroughs that reach and that matter to society.

The Power of Collaboration

By fostering environments and creating opportunities that bring researchers and industry leaders together, the Center for Applied AI helps translate concepts and breakthroughs into real-world impact through conversation and collaboration. This year’s conference was a timely reminder of what AI can achieve when it is guided by a dedication to pioneering productive progress and unlocking new understandings in economics for societal benefit. As the AI frontier continues to grow and develop, CAAI, alongside institutions like the Federal Reserve Bank of Philadelphia, remains committed to fostering innovation that benefits communities and engaging a brilliantly diverse community in helping to shape the future of technology and society.

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