Artificial Intelligence
Ideas and insight about artificial intelligence from MIT Sloan.
To help improve the accuracy of generative AI, add speed bumps
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Introducing “targeted friction” into AI workflows can improve overall accuracy and reduce uncritical adoption.
Slack CEO: How to roll out artificial intelligence internally
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Slack CEO Denise Dresser lists five types of AI users you need to know in your organization and offers guidance on how to engage them.
How generative AI affects highly skilled workers
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When software developers were given access to an AI coding tool, productivity increased — particularly among newer hires and more junior employees.
What executives need to know about AI
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To truly reap the benefits of artificial intelligence, executives need an understanding of how AI systems operate and what they do well.
Insights from MIT’s newest Nobel laureates on AI, labor, and more
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Institute professor Daron Acemoglu and MIT Sloan professor Simon Johnson have examined economic growth, digital advertising, and the Russian oil cap.
Download: Insights for success in AI-driven organizations
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From MIT Sloan experts, innovative ideas for using artificial intelligence to solve critical business problems and deliver on strategy.
Ideas for innovation from MIT Sloan Management Review
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Large enterprises don’t have to move slowly. Here are three ways to unlock fresh innovation.
An AI chatbot can reduce belief in conspiracy theories
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The artificial intelligence-powered “DebunkBot” reduced individuals’ belief in conspiracy theories and lessened their conspiratorial mindset, according to a new study.
Generative AI enables companies to execute with speed
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MIT Sloan student teams advise Pfizer, Comcast, and others on using data and generative AI to bring products to market and communicate with customers quickly.
4 ways for data officers to take the helm on AI initiatives
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Companies should prioritize the capture, management, and availability of data, according to the 2024 Data and AI Leadership Executive Survey.