Agenda

JOIM Conference – AI in Finance
October 2 – 4, 2024
Massachusetts Institute of Technology (MIT) Campus/ Cambridge, MA

The event will take place on the Massachusetts Institute of Technology (MIT) Campus.

This conference will focus on the latest developments in AI in finance. More generally, talks will also cover important issues currently under debate in the AI ecosystem that are relevant for investment management. Topics such as the role of closed and open AI, responsible AI, and the future of the workplace will be discussed.

Wednesday, October 2nd
MIT Samberg Conference Center
50 Memorial Drive
Building E52,  7th Floor, Salon T
Cambridge MA

Reception: 5:00pm – 5:30pm
Dinner 5:30pm – 7:00pm
Vasant Dhar, New York University, Keynote speaker
DBOT: The Damodaran Digital Twin For Long-Term Investing

Thursday, October 3rd
MIT Media Lab
E14 MPR-674, 6th floor
75 Amherst St, Cambridge, MA
Moderator:  Sanjiv Das, Santa Clara University

8:00am – 9:00am  – Breakfast
General sessions
9:00am Opening Remarks

9:15am -10:15am Bryan Kelly, Yale School of Management / AQR
The Virtue of Complexity
Discussant:  Sharon Hill, Vanguard

10:15am – 10:45am  – break

10:45am – 12:00am Simon Johnson, Massachusetts Institute of Technology
Technology and Inequality in the Age of AI
Discussant: Argyro (Iro) Tasitsiomi, T. Rowe Price

12:00pm – 1:00pm  – Lunch

1:00pm – 2:15pm Andrew Ang
Discussant:  Lisa Huang, Fidelity

2:15pm – 2:45pm  – break

2:45pm -4:00pm  Harshad Khadilkar and Sukrit Mittal, Franklin Templeton
A Meta Reinforcement Learning Approach to Goals-Based Wealth Management
Discussant:  t.b.a.

4:00pm – 5:30pm  – Reception, Winter Garden, 6th floor

Friday, October 4th
MIT Media Lab
E14 MPR-674, 6th floor
75 Amherst St, Cambridge, MA

7:00am – 8:00am  – Breakfast
General sessions
8:00am -9:15am Michael Kearns, University of Pennsylvania and AWS
Ethical Algorithm Design
Discussant:  Paul Mende, Massachusetts Institute of Technology

9:15am – 9:30am  – break

9:30am – 10:45am Mark Kritzman, Windham Capital Management and David Turkington, State Street Associates
A Transparent Alternative to Neural Networks with an Application to Predicting Volatility
Discussant:  Hui Chen, Massachusetts Institute of Technology

10:45am – 11:00am  – break

11:00am – 12:00pm Andrew Lo, Massachusetts Institute of Technology

12:00pm  – closing

A very special thanks to the Advisory Council: