One-off tests don’t measure AI’s true impact. We’re better off shifting to more human-centered, context-specific methods.

Everyone in tech agrees we’re in a bubble. They just can’t agree on what it looks like — or what happens when it pops. MIT Technology Review Explains: Let our writers untangle the complex, messy world ...

Zeus is a data recorder for Micro1, which sells the data he collects to robotics firms. As these companies race to build ...

The Pentagon plans to set up secure environments for generative AI companies to train military-specific versions of their models on classified data, MIT Technology Review has learned.

Specialized chatbots might make a difference for people with limited health-care access. Without more testing, we don't know ...

Plus: California has defied Trump's demands to stop AI regulation. This is today's edition of The Download, our weekday ...

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...

Angela Aristidou is a professor at University College London and a faculty fellow at the Stanford Digital Economy Lab and the Stanford Human-Centered AI Institute. She speaks, writes, and advises ...