Future of Work
Ideas and insights about the future of work from MIT Sloan.
The secret to successful AI implementations? Worker voice
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When stakeholders become more involved in generative AI design and implementation, it’s more likely that such tools will augment work rather than displace workers.
How to tap AI’s potential while avoiding its pitfalls
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MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.
How can we preserve human ability in the age of machines?
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Workers need healthy challenge, complexity, and connection, automation expert Matt Beane argues in his book “The Skill Code.”
Why companies are turning to ‘citizen developers’
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Business experts can now design, develop, and deploy IT applications on their own, without the need for robust programming skills.
Use imagination to make the most of generative AI
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Microsoft chief scientist Jaime Teevan on why leaders should look beyond productivity gains when evaluating where to deploy generative artificial intelligence.
Sam Altman thinks AI will change the world. All of it.
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The OpenAI CEO talks artificial intelligence and regulation, AI and bias, AI and daily life, and more. For many reasons, he’s optimistic.
Financial services’ deliberate approach to AI
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Executives from financial services firms discuss early adoption of AI in the industry, reasons for caution, and the benefits of partnering with fintechs.
Accelerated research about generative AI
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Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
New study shows why AI adoption may be slow
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In the short term, artificial intelligence systems may be too costly to use for most tasks.
Generative AI research from MIT Sloan
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Ideas about how to best deploy generative artificial intelligence, how it will affect the workforce, and how it should be regulated.