AI hiring perpetuates familiar biases. Here’s how to avoid that trap
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.
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.
Organizations see success by starting with smaller AI transformations. Aiming for incremental value builds a foundation for sustainable results.
These insights from business leaders, scholars, and scientists captured the business mood in 2025.
A new conference center and light sculpture enhance historic building
Commercial quantum computing is now years, rather than decades, away. It’s time for business leaders to start tracking its evolution.
To realize the greatest gains from artificial intelligence, we must make the future of work more human, not less.
The year’s most popular terms find us reassessing merit, rejiggering professional and geopolitical networks, and reevaluating how and when we bring AI into the office.
Leaders who actively design for the widespread use of data assets generate three times the revenue from data monetization compared with their peers.
They’re nearly all about artificial intelligence, with a guest appearance from quantum computing.
A new report from MIT shows companies remain committed to supply chain sustainability. Policy and freight decarbonization are emerging priorities.