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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.

In MIT’s international AI Negotiation Competition, “warmer” agents achieved better outcomes in negotiations with other AI agents.

A new paper explores how seeing economic value from artificial intelligence hinges on closing the gap between what AI can do and how humans can verify its outputs.

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.

Following Pope Leo XIV’s encyclical on AI, MIT Sloan professor emeritus Thomas A. Kochan argues that firms should partner with workers to ensure AI augments human skills and knowledge.

What does the next wave of climate innovation look like? At the 2026 ClimateCAP MBA Summit, MIT-connected startups presented solutions across energy, materials, and supply chains.

Here are six titles connected to the MIT Sloan School of Management covering topics such as economic strategy, entrepreneurship, talent management, and cultural evolution in the age of AI.

Leaders are turning to MIT Sloan Executive Education to learn more about AI, including managing humans amid technological change and rethinking their relationships with IT departments.

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.