How can humans and machines—particularly in the form of AI computing systems and humanoid robots—work together in real time ...

Humans rely on abstraction and conceptual frameworks, whereas AI systems apply statistical or rule-based methods, each with ...

Scalable, production-level AI requires two bases: the known sources of human knowledge and a reliable data infrastructure.

What if a helper robot could sense when your brain was tired? Assistant professor Maria Kyrarini receives two major NSF ...

A large study across 13 experiments with over 8,000 participants shows that people are far more likely to act dishonestly when they can delegate tasks to AI rather than do them themselves.

Researchers are embarking on a pioneering endeavor to integrate an innately human characteristic, which is "uncertainty," into machine learning systems. This venture offers potential benefits in ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. A 2019 Pew Research Center study and follow-up study in 2020 involved the ...

We are witnessing a fundamental shift in how successful systems are designed, and agentic AI sits at the heart of this revolution.

The rise of voice chat in online videogames has inevitably led to a growth in bad behavior between players—it is, after all, a lot easier to scream slurs and abuse at other people than it is to stop ...

The core problem is that human IAM was never built for machine scale or behavior... The amount of non-human identities continues growing—10 to 1 will turn into 45 to 1, then 100 to 1, then 200 to 1.

What could machine learning mean for the financial markets? Machine learning brings a lot of new tools. That said, I would argue that finance has been implicitly using machine-learning principles ...