Machine Learning

“One-size-fits-all” regulation will sideline medical and research benefits promised by the advent of artificial intelligence

More training and more data can have unintended consequences for machine-learning models such as GPT-4

A Nobel laureate in economics explains how artificial intelligence will affect inequality—and how solutions such as a shorter work week might mitigate its negative effects

As AI-generated content fills the Internet, it’s corrupting the training data for models to come. What happens when AI eats itself?

The U.S. ignored Oppenheimer’s warnings about nuclear weapons and rushed to build and deploy a dangerous technology. We must not make the same mistake with AI

Motion capture and detailed face scans allow TV and film production teams to replicate a performer’s likeness. Generative AI is making the process faster and easier

AI chatbots blur the line between intimacy and secrecy, posing risks for users with national security interests and access to sensitive information

Some fear that artificial intelligence will threaten humanity’s survival. But the existential risk is more philosophical than apocalyptic

A new study suggests AI can analyze cardiac activity to predict whether a song will be a hit before it’s released. But some hit-song scientists are skeptical

In steganography, an ordinary message masks the presence of a secret communication. Humans can never do it perfectly, but a new study shows it’s possible for machines

Large language models such as ChatGPT tend to make things up. A new approach now allows the systems to explain their responses—at least partially

Therapy apps are incorporating AI programs such as ChatGPT. But such programs could provide unvetted or harmful feedback if they’re not well regulated