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Companies that adopt industrial artificial intelligence see productivity losses before longer-term gains, according to new research.

The artificial intelligence-powered “DebunkBot” reduced individuals’ belief in conspiracy theories and lessened their conspiratorial mindset, according to a new study.

MIT Institute Professor Daron Acemoglu predicts that artificial intelligence will have a “nontrivial, but modest” effect on GDP in the next decade.

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.

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.

Future-ready employees are empowered, data-literate, comfortable with AI and machine learning, and committed to social and climate concerns.

Microsoft chief scientist Jaime Teevan on why leaders should look beyond productivity gains when evaluating where to deploy generative artificial intelligence.

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.

A new study finds that working with artificial intelligence boosted efficiency and reporting quality. But human expertise still matters.