Once again, AI was everywhere. But research about federal spending leads the list.

Scenes from Sloan Women in Management’s Breaking the Mold conference

The AI Risk Repository, a database of over 700 risks posed by AI, aims to provide a shared framework for monitoring and maintaining AI risk oversight.

Leaders from Google, ING, and Capital One advise avoiding the “gold rush mentality” around artificial intelligence and following these six steps instead.

The LIHEAP formula for calculating energy aid was written in the 1980s. Researchers propose a solution that recognizes the cost of cooling a warming south.

Top-performing companies invest in CEO-level data leadership, data value realization, and data resource life-cycle measurement.

Climate policy expert Christopher Knittel handicaps the likelihood of tariffs, cuts to IRA subsidies, and a carbon tax under the new administration.

This five-year program will include establishing a fellowship for African innovation-driven entrepreneurs and students in the model of the Legatum Center’s fellowships.

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

A new paper from MIT Sloan assistant professor Basima Tewfik reveals that "impostor syndrome" — or, as it’s more accurately known, the "impostor phenomenon" — is often mischaracterized.