Swati Gupta explores machine learning and optimization to improve the efficiency, quality, and fairness of the decisions models make.
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.
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.
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.
“We’re looking for innovative ways to combine people and computers by taking advantage of what each does best,” says Tom Malone.
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.
Christina Qi, SB ’13, co-founder and CEO of Databento, discusses overcoming near-failure, her undergraduate experience at MIT Sloan, and her definition of success.
Perception of peer rank, or how we perform relative to our peers, can be a powerful motivator.
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In this article, Micheil Banoub shares his personal confrontations with the history of slavery through his travels. He highlights the role of systems and ecomonies in enforcing ideology, unconsciously creating many passive observers and unintentional system participants. He claims, "If history teach...
