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MIT Sloan School of Management @MITSloan

Ideas made to matter.

Joined September 2007
  • Tweets 36,188
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  • Followers 303,819
4,701 Photos and videos
Minimum viable governance starts with a simple premise: Governance should be proportional to risk and embedded into how work gets done. bit.ly/4ewTMDg

Balance AI innovation and risk with ‘minimum viable governance’ | MIT Sloan

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.

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At the 2026 ClimateCAP MBA Summit, hosted by MIT Sloan, 11 MIT-connected startups showcased solutions across energy, materials, and supply chains. bit.ly/4wVXqPh

11 MIT climate tech startups to know | MIT Sloan

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.

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As organizations scale generative AI, traditional governance models prove to be too rigid or too loose. Minimum viable governance puts in place just enough oversight to enable responsible innovation without slowing progress. @MIT_CISR bit.ly/4ewTMDg

Balance AI innovation and risk with ‘minimum viable governance’ | MIT Sloan

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.

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“AI negotiators can do some things humans cannot do, and they can be exploited in ways humans cannot be exploited.” — MIT Sloan professor Jared Curhan bit.ly/3Sy1zsP

The surprising power of warmth in AI negotiations | MIT Sloan

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

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Learn more about MIT Sloan professor Thomas Malone's proposal for "learnright" laws that would give copyright holders the exclusive right to license their content to AI companies for model training: bit.ly/4u2rfvB
Photo of MIT Sloan professor Thomas Malone with quote: "Copyright law wasn't designed for a world with generative AI, and without something like learnright laws, the incentives for people to create new content are likely to be greatly reduced."

ALT Photo of MIT Sloan professor Thomas Malone with quote: "Copyright law wasn't designed for a world with generative AI, and without something like learnright laws, the incentives for people to create new content are likely to be greatly reduced."

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What will distinguish firms is not so much their ability to deploy AI as their ability to stand behind what it produces. bit.ly/4dTYxrk

Seeing real value from AI depends on being able to verify its outputs | MIT Sloan

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.

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Four startups led by MIT Sloan alumni were featured as part of a recent MIT Startup Exchange Virtual Demo Day. See what each of these startups is doing to make other firms work better. bit.ly/4wkahuu

4 MIT Sloan startups solving logistics problems in industry and health care | MIT Sloan

The MIT Startup Exchange supports MIT-connected ventures as they explore and assess new technologies. Here are four MIT Sloan-connected startups featured at its recent Virtual Demo Day.

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“Taking action on climate is not about constraint — it’s about growth, innovation, resilience, and economic opportunity. It’s about inventing the future.” — Georgina Campbell Flatter and Ben Soltoff, MIT Sloan Lecturers bit.ly/4njAR2u

Startups: Don’t ‘dial down’ the climate narrative. Refine it | MIT Sloan

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.

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MIT Sloan professor Eric So believes that AI is changing how people’s brains operate and causing users to become overly dependent on the technology. This could eventually undermine individual learning patterns and derail business goals. Learn what individuals and organizations can to do protect cognitive capital: bit.ly/49VtgSz
The image is a highlighted section from an MIT Sloan article titled "3 Factors Leading to Worker Overreliance on AI." It lists three reasons: 1) Individuals rely on AI for power and productivity due to a desire to conserve mental energy. 2) Societal pressure results in increased AI usage to mimic expert performance. 3) The demand for productivity pressures individuals to use AI tools, especially in competitive environments.

ALT The image is a highlighted section from an MIT Sloan article titled "3 Factors Leading to Worker Overreliance on AI." It lists three reasons: 1) Individuals rely on AI for power and productivity due to a desire to conserve mental energy. 2) Societal pressure results in increased AI usage to mimic expert performance. 3) The demand for productivity pressures individuals to use AI tools, especially in competitive environments.

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MIT Sloan professor Jared Curhan, who has spent his career studying negotiation, partnered with MIT colleagues to understand what strategies make AI agents negotiate best. bit.ly/3Sy1zsP

The surprising power of warmth in AI negotiations | MIT Sloan

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

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The new Catalytic Climate Finance Project, co-founded by the MIT Sloan Sustainability Initiative’s Florian Berg and Jason Jay, aims to replicate the solar industry’s success by supporting the development of other green technologies. bit.ly/3PSUIcB

Building a case for catalytic climate finance | MIT Sloan

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.

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Here are seven suggestions for your summertime reading list. bit.ly/4utq2xH

MIT Sloan’s 2026 summer book collection | MIT Sloan

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.

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Human content creators are protected by copyright law, in part to ensure that they’re fairly compensated for their work. But whether these laws allow AI models to learn from human-created content is up for debate in court and on Capitol Hill. bit.ly/4u2rfvB

How ‘learnrights’ would compensate creators for AI model training | MIT Sloan

Learnright laws would give copyright holders the exclusive right to license their content for artificial intelligence model training.

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Even when no humans are at the table, human negotiation principles still matter. bit.ly/3Sy1zsP

The surprising power of warmth in AI negotiations | MIT Sloan

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

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Few organizations have parlayed AI experimentation into initiatives that move the needle on critical business metrics. Researchers from @MIT_CISR have identified five common mistakes impeding AI success. Learn more: bit.ly/4wAhJBB
Quote from MIT Center for Information Systems Research research scientist Nick van der Meulen: "Organizations are applying yesterday's best practices to an inherently different technology. They govern AI like legacy IT ... and treat AI as another skill to acquire when it's actually redefining what skilled work looks like."

ALT Quote from MIT Center for Information Systems Research research scientist Nick van der Meulen: "Organizations are applying yesterday's best practices to an inherently different technology. They govern AI like legacy IT ... and treat AI as another skill to acquire when it's actually redefining what skilled work looks like."

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By providing climate startups with strategic funding from philanthropists and private companies for early-stage and scale-up costs, catalytic climate finance can make climate technologies less risky and more attractive to private investors. bit.ly/3PSUIcB

Building a case for catalytic climate finance | MIT Sloan

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.

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For generations, negotiation has been treated as a distinctly human skill. Artificial intelligence is changing that. bit.ly/3Sy1zsP

The surprising power of warmth in AI negotiations | MIT Sloan

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

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Leaders are facing unpredictable challenges, and AI is part of a “bewildering onslaught of change” that is driving executives to seek learning opportunities. bit.ly/4dUPrKM

What senior leaders want to know about AI | MIT Sloan

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.

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A new wave of climate technology is coming, and it spans everything from peel-and-stick solar panels to nuclear reactors that can fit on a truck. bit.ly/4wVXqPh

11 MIT climate tech startups to know | MIT Sloan

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.

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Consumers often express positive views toward environmentally friendly actions, but good intentions don’t always translate into behavior. One possible reason? Consumers find it challenging to gauge their positive environmental impact. bit.ly/3QN8cH6

Why plain language works better than cash to drive sustainability | MIT Sloan

Simplified messaging helps civic leaders and business managers boost recycling rates without spending more money, says MIT Sloan School of Management professor Catherine Tucker.

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