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MIT Institute Professor Daron Acemoglu predicts that artificial intelligence will have a “nontrivial, but modest” effect on GDP in the next decade.
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Artificial intelligence doesn’t have to trigger a loss of jobs and privacy, writes MIT economist Daron Acemoglu. But only if we modify our approach.
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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.
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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.
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Companies that intend to use generative artificial intelligence should first consider how people regard work created by AI, humans, or some combination of the two.
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Future-ready employees are empowered, data-literate, comfortable with AI and machine learning, and committed to social and climate concerns.
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A new study finds that working with artificial intelligence boosted efficiency and reporting quality. But human expertise still matters.
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The “Me, Myself, and AI” podcast examines the creative ways companies use artificial intelligence, like making faster methods for vaccine experiments.
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A new study finds that artificial intelligence has been adopted unevenly in the U.S., with use clustered in large companies, industries such as manufacturing and health care, and certain cities.
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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.
