Join Andrew Lo, PhD ’84, Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management, director of MIT’s Laboratory for Financial Engineering, and a principal investigator at MIT’s Computer Science and Artificial Intelligence Lab, for a provocative discussion on whether large language models and generative AI can be used to provide trusted financial advice, the opportunities these technologies offer for leveling the playing field for those underserved by current advising structures, and the ethical dimensions to consider when evaluating these models.
Harvard University and the Graduate School Alumni Association encourage people with disabilities to participate in their programs and activities. If you anticipate needing any type of accommodation or have questions about the access provided, please let us know in advance by emailing gsaa@fas.harvard.edu.
Speaker Biography
Andrew Lo, PhD ’84
Andrew W. Lo is the Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management, the director of MIT’s Laboratory for Financial Engineering, and a principal investigator at MIT’s Computer Science and Artificial Intelligence Lab. He received a BA in economics from Yale University in 1980, and an AM and PhD in economics from Harvard University in 1984. His most recent research focuses on evolutionary models of investor behavior and financial market dynamics, quantifying the financial costs and benefits of impact investing, applying financial engineering and data science to develop new funding and payment models for “hard tech” sectors such as biotech and fusion energy, and developing applications of large language models and generative AI for providing trusted advice. He has published extensively and his most recent book is The Adaptive Markets Hypothesis: An Evolutionary Approach to Understanding Financial System Dynamics. He has received numerous awards, including being named one of Time magazine’s “100 most influential people in the world”.
Join Andrew Lo, PhD ’84, Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management, director of MIT’s Laboratory for Financial Engineering, and a principal investigator at MIT’s Computer Science and Artificial Intelligence Lab, for a provocative discussion on whether large language models and generative AI can be used to provide trusted financial advice, the opportunities these technologies offer for leveling the playing field for those underserved by current advising structures, and the ethical dimensions to consider when evaluating these models.
Harvard University and the Graduate School Alumni Association encourage people with disabilities to participate in their programs and activities. If you anticipate needing any type of accommodation or have questions about the access provided, please let us know in advance by emailing gsaa@fas.harvard.edu.
Speaker Biography
Andrew Lo, PhD ’84
Andrew W. Lo is the Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management, the director of MIT’s Laboratory for Financial Engineering, and a principal investigator at MIT’s Computer Science and Artificial Intelligence Lab. He received a BA in economics from Yale University in 1980, and an AM and PhD in economics from Harvard University in 1984. His most recent research focuses on evolutionary models of investor behavior and financial market dynamics, quantifying the financial costs and benefits of impact investing, applying financial engineering and data science to develop new funding and payment models for “hard tech” sectors such as biotech and fusion energy, and developing applications of large language models and generative AI for providing trusted advice. He has published extensively and his most recent book is The Adaptive Markets Hypothesis: An Evolutionary Approach to Understanding Financial System Dynamics. He has received numerous awards, including being named one of Time magazine’s “100 most influential people in the world”.