Artificial Intelligence
Ideas and insight about artificial intelligence from MIT Sloan.
Why people favor AI in certain domains but not others
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To improve AI adoption in your organization, pay attention to both capability and personalization, new research suggests.
This new framework helps companies build secure AI systems
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New guidance includes 10 questions that can help organizations build secure-by-design artificial intelligence.
How to break the ‘AI hype cycle’ in your organization
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Akamai CTO Robert Blumofe offers four tips for business leaders striving to empower employees with the right tools and best use cases.
4 human financial services activities that AI can’t do
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Artificial intelligence improves efficiency in risk management and compliance, but humans are still best for customer-facing tasks, a new study finds.
3 insights about AI and society from MIT research
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MIT Sloan research explores the promise and limits of using AI in medicine, hiring, and creative pursuits.
What happens when manufacturing firms adopt AI
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Companies that adopt industrial artificial intelligence see productivity losses before longer-term gains, according to new research.
Big-picture AI: Ideas from MIT Sloan Management Review
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Enterprises racing to adopt AI must be wary of giving into hype, downplaying ethical concerns, and focusing on use cases that won’t generate real value.
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.