Foundry Fellow Ecosystem Tour 2023 - 2024 Blog Press Release
How will the U.S. election affect jobs and the economy? That was the topic of a panel discussion held October 29th, 2024 at the MIT Sloan School of Management. The event, which was sponsored by the MIT Sloan People and Organizations Club and the MIT Institute for Work and Employment Research (IWER...
Tribute to John “Mac” McQuown, long-time member of the GCFP Advisory Board
MIT Sloan faculty members have been leaders in artificial intelligence for decades. We asked about their new projects and what they see as the most exciting—and concerning—aspects of the AI boom.
Georgia Perakis focuses her work on pricing and supply chains, using AI to help retailers better predict demand and determine optimal promotional strategies based on different variables.
“We’re looking for innovative ways to combine people and computers by taking advantage of what each does best,” says Tom Malone.
Danielle Li studies how AI impacts work and the workplace. “I’m more interested in how businesses put these tools to use, how they impact the productivity of workers, the type of work they are able to do, and what their careers might look like in an AI-intensive world,” she says.
Kate Kellogg studies the implementation of narrow AI — AI systems designed to perform specific tasks — as well as generative AI, among frontline knowledge workers. She’s exploring the barriers to AI implementation and the mechanisms for addressing them.
As co-faculty director of the Shaping the Future of Work initiative at MIT, Simon Johnson works on the economics and politics of AI development and deployment in the US and globally.
Swati Gupta explores machine learning and optimization to improve the efficiency, quality, and fairness of the decisions models make.
