Generative artificial intelligence can help designers come up with new ideas, according to a new study.
Once again, AI was everywhere. But research about federal spending leads the list.
MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.
Leaders from Google, ING, and Capital One advise avoiding the “gold rush mentality” around artificial intelligence and following these six steps instead.
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
We are in the fourth wave of artificial intelligence. In his new book, Alex Pentland says understanding AI from the 1960s, 1980s, and 2000s can help us develop technology that supports shared wisdom.
Theresa Seley Associate Professor in Management Science, Associate Professor, Operations Management
Generative artificial intelligence will affect economic growth more quickly than other general-purpose technologies, according to a new report.
In her new book, computer scientist Joy Buolamwini examines the “power shadows” lurking in the datasets used to train artificial intelligence.
Microsoft chief scientist Jaime Teevan on why leaders should look beyond productivity gains when evaluating where to deploy generative artificial intelligence.
