New research shows that AI delivers the most value when organizations redesign workflows, not just when they automate individual tasks.
MIT Sloan researchers demonstrate a new approach to designing experiments in the social and behavioral sciences by applying it to a longstanding question about punishment in public goods games
In an excerpt from her new book, MIT Sloan School of Management professor Kristin J. Forbes uses six military principles from Chinese philosophy to develop guidance for central banks.
A new MIT Sloan executive education course looks at how organizations need to align “the work, the workforce, and the workplace” to succeed with artificial intelligence.
Researchers at the MIT Initiative on the Digital Economy share the latest insights about getting the most from working with AI, such as personality pairing and reorganizing job tasks.
As organizations scale generative AI, traditional governance models prove to be too rigid or too loose. Minimum viable governance calibrates oversight to risk, enabling responsible innovation.
MIT Sloan School of Management researcher Christian Catalini found that AI can now produce complex work at near-zero cost, but the time it takes a human to check that work is fixed by biology.
Many climate technologies fail not because of their effectiveness but because they falter in the “missing middle” of financing. The MIT Catalytic Climate Finance Project aims to bridge that gap.
Organizations are struggling to succeed with AI. Research from the MIT Center for Information Systems Research shows common mistakes and how to overcome them.
Entrepreneurs should develop solutions that connect climate to reliable energy, economic growth, and competitiveness, argue MIT Sloan’s Ben Soltoff and Greentown Labs’ Georgina Campbell Flatter.
