At Their Best, Self-Learning Algorithms Can Be a “Win-Win-Win”
Lyft is using ”reinforcement learning” to match customers to drivers—leading to higher profits for the company, more work for drivers, and happier customers.
Researchers: Sébastien Martin
March 1, 2023
Podcast: What One School District’s Fiasco Says About the Strengths and Limits of AI
On this episode of The Insightful Leader: When Boston Public Schools looked to algorithms to solve equity issues and save money, it ran into a roadblock—the complicated lives of parents and students.
Researchers: Sébastien Martin
June 14, 2022
2 Ways to Improve Rideshares for Drivers and Customers
Research suggests there are ways to reduce costs and emissions, as well as help customers get picked up more quickly.
Researchers: Ilan Lobel, Sébastien Martin, Anton Braverman, J. G. Dai, Xin Liu and Lei Ying
March 1, 2021
Researchers Designed an Algorithm to Save Schools Money and Improve Equity. The District Loved it. Then Things Got Messy.
A tale of bus routes in Boston shows the promises and pitfalls of using new technology to change entrenched systems.
Researchers: Dimitris Bertsimas, Arthur Delarue and Sébastien Martin
October 1, 2020