Chalk Radio: MIT Economist on Finance, AI, and Human Behavior Featuring Andrew Lo (Guest Episode)

In this episode

This month we’re featuring a special guest episode from our friends at MIT OpenCourseWare's Chalk Radio. Host Sarah Hansen sits down with Professor of Finance at the MIT Sloan School of Management and CSAIL PI Andrew Lo for a wide-ranging conversation about money, learning, and making financial advice accessible to everyone.

Andrew Lo explains why he believes finance is a language we all need to speak and that an advanced math degree is not required to be successful. Exploring how money quietly shapes nearly every path we take, Professor Lo reflects on his work with MIT OpenCourseWare which reached millions of learners worldwide and why breaking down “impenetrable” financial concepts has become central to his mission.

And of course, he tackles the timely question: Should you use ChatGPT to plan your retirement?

For many people, hiring a financial advisor might be a financial impossibility, but Professor Andrew Lo and his colleagues are working to develop an AI financial advisor that not only gives ordinary people access to sound financial advice, but ultimately acts with the best interest of the user.

Andrew Lo is the faculty director of FinTechAI@CSAIL, a research initiative with CSAIL Alliances.  

 

More CSAIL Content

About the speakers

Andrew Lo
Faculty Director, FinTechAI@CSAIL
Charles E. and Susan T. Harris Professor, MIT Sloan School of Management
Director, MIT Laboratory for Financial Engineering

Andrew Lo obtained his A.M. and PhD in economics from Harvard University in 1984, his B.A. in economics from Yale University in 1980, and graduated from the Bronx High School of Science in 1977. Lo began his academic career at the University of Pennsylvania’s Wharton School, where he was an assistant and associate professor from 1984 to 1988. Now, Lo is the Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management and the director of MIT’s Laboratory for Financial Engineering. He later joined the MIT Computer Science and Artificial Intelligence Laboratory as a principal investigator. Some of his awards include: Batterymarch, Guggenheim, and Sloan Fellowships; the Paul A. Samuelson Award; the Eugene Fama Prize; and the IAFE-SunGard Financial Engineer of the Year.

Industry Impact
Andrew Lo’s current research spans on five areas:

  • Evolutionary models of Investor behavior and adaptive markets
  • Systemic risk and financial regulation
  • Quantitative models of financial markets
  • Financial applications of machine-learning techniques and secure multi-party computation
  • Healthcare finance

With the development of commerce and corporate governance, the use of financial engineering is a tool and a model for tending to the growth of organizations that have become important therefore raising the level for competitiveness and efficiency. Financial engineering helps to create, design, and implement new financial models and processes in order to find solutions for problems. This system helps to discover new financial opportunities: preparing models that require a great amount of research and rely on in-depth data analysis, simulations, risk analysis and stochastics. With that said, financial engineering can benefit organizations in seeking new solutions to various problems that include risk management, scenario simulation, and new product development.

Learn More
Podcast: The Intersection of Finance, Cryptography and AI with Andrew Lo
Moore’s Law Vs. Murphy’s Law in the Financial System: Who’s Winning?
MIT Laboratory for Financial Engineering