Use imagination to make the most of generative AI
By
Microsoft chief scientist Jaime Teevan on why leaders should look beyond productivity gains when evaluating where to deploy generative artificial intelligence.
By
Microsoft chief scientist Jaime Teevan on why leaders should look beyond productivity gains when evaluating where to deploy generative artificial intelligence.
By
The OpenAI CEO talks artificial intelligence and regulation, AI and bias, AI and daily life, and more. For many reasons, he’s optimistic.
By
Executives from financial services firms discuss early adoption of AI in the industry, reasons for caution, and the benefits of partnering with fintechs.
By
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
By
In the short term, artificial intelligence systems may be too costly to use for most tasks.
By
Ideas about how to best deploy generative artificial intelligence, how it will affect the workforce, and how it should be regulated.
By
Artificial intelligence is everywhere. But it’s humble leadership that leads our list.
By
Extended reality technologies such as digital twins, virtual reality, and the metaverse introduce new ways of working and can drive higher business value.
By
A new book from The MIT Press identifies nudges, interventions, and experiments to help companies de-bias, attract diverse talent, and manage the workforce better.
By
Generative AI can boost highly skilled worker productivity, if organizations establish a culture of accountability and encourage role reconfiguration.