MIT Sloan research explores the promise and limits of using AI in medicine, hiring, and creative pursuits.
Natalia Levina, PhD ’01, and Rumman Chowdhury, SB ’03, spoke at the second annual Social Media Summit@MIT, a virtual gathering hosted by the MIT Initiative on the Digital Economy, in late March.
Enterprises racing to adopt AI must be wary of giving into hype, downplaying ethical concerns, and focusing on use cases that won’t generate real value.
This startup relies on the distributed intelligence of East African farmers for its data.
Artificial intelligence was top of mind at the 2025 MIT Sloan Reunion. In two talks, MIT alumni went to the furthest reaches of possibility with AI, both in terms of its capacity to do harm and its potential to solve existence's toughest problems.
As businesses adopt AI, they need to rethink how they make money. Understanding these four new business models is a place to start.
In health care, AI is speeding up administrative tasks, improving the accuracy of diagnoses, and curtailing unnecessary treatment.
To improve AI adoption in your organization, pay attention to both capability and personalization, new research suggests.
Akamai CTO Robert Blumofe offers four tips for business leaders striving to empower employees with the right tools and best use cases.
Charles E. and Susan T. Harris Professor, Professor, Finance, Director, Laboratory for Financial Engineering
