Artificial Intelligence
Ideas and insight about artificial intelligence from MIT Sloan.
MIT Sloan’s 2025 summer book collection
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Eight research-backed titles covering retirement transitions, artificial intelligence and skills development, and how to build an innovation advantage.
How to spot real value in AI — and avoid the snake oil
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A new book aims to help business leaders separate real AI value from overhyped claims.
4 new studies about agentic AI from MIT
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New research ranges from how AI agents negotiate to how “personality pairing” can optimize human-AI collaboration.
These human capabilities complement AI’s shortcomings
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The work tasks that AI is least likely to replace are those that depend on uniquely human capacities, such as empathy, judgment, ethics, and hope.
How to find the right business use cases for generative AI
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Three steps to finding use cases for large language models: Break down workflows into tasks, consider all costs associated with automation, and launch pilots.
3 ways businesses can use large language models
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Organizations have options when it comes to using or adapting off-the-shelf large language models to handle tasks or business use cases.
Machine learning and generative AI in 2025
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While generative AI is widely accessible and useful, businesses need to know when to use other AI tools, like traditional machine learning.
Successful companies now have AI-savvy boards
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Companies perform better when their boards and executive teams stay current with fast-moving technologies.
What’s next for AI: Hybrid intelligence systems
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A new book looks at how the integration of artificial and human intelligence will impact individuals, organizations, and society.
10 MIT AI startups to watch in 2025
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From assessing bridge infrastructure to predicting worker fatigue risk via voice analysis, these startups are widening the scope of what artificial intelligence can do.