Ideas Made to Matter
Sara writes about management issues affecting global business leaders, with an emphasis on management science. Areas of interest include artificial intelligence, the digital economy, marketing, operations management, platforms, system dynamics, and supply chain.
Prior to MIT Sloan, Sara was a reporter and editor at the Vineyard Gazette on Martha's Vineyard. She has written for The Boston Globe and Martha's Vineyard Magazine, among other publications. She has a master's degree in journalism from Boston University and an undergraduate degree from the University of Washington.
Articles by Sara Brown
Neural net pioneer Geoffrey Hinton sounds the AI alarm
One researcher said he’s concerned about the “existential dangers” of artificial intelligence for humanity.
Intel CEO on bringing chip manufacturing back to US
Pat Gelsinger talked about why he’s optimistic about advancements in chip manufacturing during a visit to MIT.
New MIT podcast explores the promise and peril of data
How is data used to lead, mislead, manipulate, and inform viewpoints and decisions? The MIT Institute for Data, Systems, and Society investigates.
3 ways to center humans in artificial intelligence efforts
Take time now to understand the challenging questions about AI and ethics that firms will face in the years ahead.
How companies use AI to reach customers, innovate
“Me, Myself, and AI” looks at how Boeing, Land O’Lakes, and other companies aim to succeed with artificial intelligence.
Survey details data officers’ priorities, challenges
Chief data officers are focused on data governance and creating a data-driven culture, according to a new survey report written by Tom Davenport.
FedEx founder on innovation, climate change, and Amazon
Fifty years after founding FedEx, Frederick W. Smith talks about how artificial intelligence and robotics are changing shipping.
MIT Sloan professor named to 2023 Thinkers50 Radar list
The 2023 Thinkers50 Radar list honors David Rand, a professor who researches the spread of misinformation online.
Data literacy for leaders
Here’s how executives and senior managers can become effective and savvy champions of the data produced by their organizations.
Employees more likely to second-guess interpretable algorithms
New research shows that people are more likely to trust complicated machine learning models over models that they’re able to understand and troubleshoot.