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.

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.

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

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.

Ideas about how to best deploy generative artificial intelligence, how it will affect the workforce, and how it should be regulated.

The “Me, Myself, and AI” podcast examines the creative ways companies use artificial intelligence, like making faster methods for vaccine experiments.

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.

Artificial intelligence can be useful in the workplace, but humans have to first define what success looks like, according to MIT Sloan’s Danielle Li.