Employers that used AI tools to write job posts saved time and advertised for more positions — but it didn’t lead to more job matches, researchers found.
How is data used to lead, mislead, manipulate, and inform viewpoints and decisions? The MIT Institute for Data, Systems, and Society investigates.
As hourly employees find their voice, and one another, smart business leaders are keeping an ear close to the ground.
The AI hiring revolution doesn’t have to be a story of automated bias, argues MIT Sloan’s Emilio J. Castilla. Tough questions and constant monitoring can lead to fairer systems.
Becoming digital isn’t the same as digitization. Here’s how to handle both digital transformations.
What exactly is “dynamic work design,” and how can it help businesses drive positive change? Nelson Repenning, PhD ’96, and Donald Kieffer have some ideas.
MIT Sloan climate expert John Sterman spells out the actions businesses can take to mitigate the economic and ecological harms of global warming.
How to create an "automation center of excellence" and develop capabilities for success after the pandemic.
Alumni discussed what AI, digital health, and new organizational models mean for alumni in healthcare at Reunion 2026.
Social media platforms make money off sensational content. Taxing digital ads is one way to encourage different business models, according to two MIT economists.
