“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.
Vivek Farias is using massive parallelism—many processors working simultaneously—to speed up different types of computations. He is also studying the intersection of large language models and human behavior to simulate consumer behavior and determine the impact of bias on LLMs.
Dimitris Bertsimas has worked in artificial intelligence for more than 20 years, spanning fields from health care to climate. He's optimistic that AI will be multimodal and multitasking, but he also sees challenges ahead.
Every year for 50 years, the U.S. Coast Guard has nominated a senior officer to apply to the MIT Sloan Fellows MBA program.
The blog, written by Isha Doshi , explores the challenges posed by currency volatility in sub-Saharan Africa, where erratic exchange rates impact both international investors and local economies. TLG Capital, with over a decade of experience investing in African SMEs, highlights how factors like rel...
MIT Sloan Professor Simon Johnson, PhD ’89, credits the success of his and his fellow Nobel laureates’ research to their students.
