How to tap AI’s potential while avoiding its pitfalls
MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.
MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.
New research explores worker engagement, its impact on job performance, and its connection to a worker’s level of emotional stability.
Work with remote work, facilitate peer-to-peer communication, confront supply chain shortfalls, and more.
AI systems hold the promise of competitive advantage, but they can usher in cognitive decline among workers, says MIT Sloan School of Management’s Eric So. Learn how to protect cognitive capital.
Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.
Artificial intelligence can be useful in the workplace, but humans have to first define what success looks like, according to MIT Sloan’s Danielle Li.
This Hot Labor Summer, workers are demanding not just increased wages, but what labor expert Thomas Kochan calls “a new social contract.”
In the short term, artificial intelligence systems may be too costly to use for most tasks.
A marketplace for data, breaking workflow logjams, managing cybersecurity, and more.