Artificial Intelligence
Ideas and insight about artificial intelligence from MIT Sloan.
14 quotes for business and management from 2024
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Here are insights from senior leaders, scientists, and a Nobel laureate that captured the business mood in 2024.
Drawing a line from colonialism to artificial intelligence
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Nobel laureate Simon Johnson says that AI can be an equalizing force, but warns that new technology does not automatically benefit everyone.
How to manage two types of generative AI
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Businesses have identified two types of generative AI: broadly applicable tools that boost personal productivity, and tailored solutions for specific purposes.
The top 10 MIT Sloan articles of 2024
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Once again, AI was everywhere. But research about federal spending leads the list.
New database details AI risks
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The AI Risk Repository, a database of over 700 risks posed by AI, aims to provide a shared framework for monitoring and maintaining AI risk oversight.
How to redesign work for the age of AI
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Leaders from Google, ING, and Capital One advise avoiding the “gold rush mentality” around artificial intelligence and following these six steps instead.
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.