Artificial Intelligence
Ideas and insight about artificial intelligence from MIT Sloan.
Neural net pioneer Geoffrey Hinton sounds the AI alarm
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One researcher said he’s concerned about the “existential dangers” of artificial intelligence for humanity.
Study: Industry now dominates AI research
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Industry is now leading, and influencing, basic AI research that has traditionally been the domain of academia, according to a new paper.
It’s not too late to rechart the course of technology
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In their new book, MIT’s Daron Acemoglu and Simon Johnson argue that society’s powerful gatekeepers need to stop being mesmerized by tech billionaires.
AI-boosted resumes increase the chance of being hired
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They also received more offers and higher wages, an experiment finds.
New MIT podcast explores the promise and peril of data
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How is data used to lead, mislead, manipulate, and inform viewpoints and decisions? The MIT Institute for Data, Systems, and Society investigates.
New AI lessons from MIT Sloan Management Review
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Knowing how to evaluate AI tools, manage data effectively, and share data strategically will help leaders see the results from their AI investments.
When does artificial intelligence pay off?
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Firms need to be ready to make a significant investment in AI to see any gains, according to a new study.
3 ways to center humans in artificial intelligence efforts
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Take time now to understand the challenging questions about AI and ethics that firms will face in the years ahead.
How companies can pursue ‘positive-sum automation’
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To see the benefits of automation, companies need to understand challenges and create more flexible robotic tools.
Artificial intelligence can design more appealing cars
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Carmakers can spend $3 billion on a single design. Machine learning models can streamline the process — and bring fewer duds to market.