How continuous learning keeps leaders relevant in the age of AI
Thriving in a work environment facing rapid change requires more than expertise. To distinguish yourself as a leader, cultivate the ability to extract and transfer learning.
Thriving in a work environment facing rapid change requires more than expertise. To distinguish yourself as a leader, cultivate the ability to extract and transfer learning.
David Sarnoff Professor of Management of Technology, Professor, Technological Innovation, Entrepreneurship, and Strategic Management
Including examples from Mastercard, DuPont, and Wayfair.
Skeptics are more likely to approve of sustainable infrastructure when shown AI-enhanced images of how green cityscapes might look, research finds.
How to define the right KPIs, why toxic culture is driving turnover, and more insights for leading in 2022.
Companies need a plan for when employees use unapproved, publicly accessible generative artificial intelligence tools for work-related tasks.
New books from MIT Sloan faculty and experts on a future-ready workforce, game theory, AI, and more.
“There is a growing body of work on the potential gains from following algorithmic recommendations, but this is the first paper to highlight the role of algorithm design on the hiring process.”
With the starting word SALET, a computer model built by MIT researchers solves the word game with an average of 3.4 guesses.
Generative AI and financial data are opening up the digital economy to more consumers and small businesses, but crypto concerns remain.