Artificial Intelligence
Ideas and insight about artificial intelligence from MIT Sloan.
Accelerated research about generative AI
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Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
Robots could give humans ‘superpowers’
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In a new book, MIT roboticist Daniela Rus looks at the powers and limitations of robots and how humans can work with them to unlock new capabilities.
Can generative AI provide trusted financial advice?
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Generative AI has the potential to provide smart, tailored financial guidance, early research from MIT Sloan economist Andrew Lo suggests.
How AI helps acquired businesses grow
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To tap the power of artificial intelligence to grow a small company, make conservative tech bets and consider what work is ripe for augmentation.
Leading the AI-driven organization
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How to create an artificial intelligence strategy that takes into account key business priorities, organizational data strategy, and employee skills.
New AI insights from MIT Sloan Management Review
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MIT experts explain how generative AI — and AI generally — could transform enterprises this year, as well as how to set realistic environmental goals.
Job responsibilities of generative AI leaders
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Heads of generative artificial intelligence help set the course for how a company uses AI, and how it affects workers.
Cybersecurity plans should center on resilience
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Organizations must base their cybersecurity strategies on resilience — the ability to weather an attack with minimal damage to data, finances, and reputation.
Better predictive models could reduce clothing returns
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Adding images to predictive models can help retailers estimate return rates as they decide what to feature on their websites.
What’s next for generative AI: Household chores and more
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Two AI practitioners explain how “Large X models” that turn text into actions may ultimately allow generative AI to water plants and peel potatoes.