Associate Professor Sean Cao, University of Maryland
We train an AI analyst that digests corporate disclosures, industry trends, and macroeconomic indicators to the extent it beats most analysts. Human wins the “Man vs. Machine” contest when a fir is complex with intangible assets, and AI wins when information is transparent but voluminous. Analysts catch up with machines over time, especially after firms are covered by alternative data and their institutions build AI capabilities. AI power and human wisdom are complementary in generating accurate forecasts and mitigating extreme errors, portraying a future of “Man + Machine”(instead of human displacement) in financial analyses, and likely over other high-skill professions.
Speaker bio
Dr Cao is associate professor of AI, FinTech, and Sustainability (with tenure) in the Robert H. Smith School of Business at the University of Maryland. He is also an affiliated professor at Harvard Business School (D^3 Institute.) Dr Cao’s research has been featured in the Financial Times, CNBC, Bloomberg, the Guardian, and Quartz. To date, Dr Cao has given over 100 invited research talks at major research universities. Dr Cao also serves as a guest associate editor at Management Science. In 2020 and 2022, Dr Cao co-chaired conferences with the Review of Financial Services (dual submission) on FinTech and machine learning. (See more on Sean’s homepage.)
Dr Cao is deeply committed to helping business communities through his research. He has been honoured with the award by the Deloitte Initiative for AI and Learning (DIAL), leading to developing AI solutions for social inclusion and climate change. For teaching, Dr Cao has been invited externally by major research universities to teach short-term doctoral seminars on AI and Fintech in finance and accounting. He also runs a tutorial blog site (YouTube: Sean Cao_Fintech or Bilibili ID: Seancao) that aims to help scholars outside of computer science smoothly adapt machine learning to finance and accounting research.
A light lunch will be available in the Main Foyer from 12:00.
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Event timings
Date:
9 May 2023
Start Time:
13:00
End Time:
14:15