Are we shaping our feeds or are they shaping us — and is this healthy? Faculty weigh in recommendation algorithms.

How do humans make remarkable decisions with limited data and computing power—and what can that efficiency teach us about AI?

As AI enters mental health care, a Lehigh researcher argues the real question isn't speed, but whether technology can help ...

For all its intelligence – and it can be extremely intelligent – giving instructions to AI can sometimes feel like talking to ...

The package also expands workplace-surveillance restrictions as California continues building out its broader AI regulatory ...

The changing use of the word algorithm reflects this enhanced visibility. In fact, the meaning of this word has changed ...

Your feed isn't showing you what dating is like. It's showing you what keeps you watching.

A customer who pays more for lunch today may decide to eat somewhere else tomorrow. Restaurant operators investing in ...

The company calls the recommendations optional, but operators say tracking and follow-up questions make deviations difficult ...

The internet was supposed to be the great equalizer, putting the sum of all human knowledge right at our fingertips. In many ways, it’s done that, although having constant access to everything is ...

Medical imaging has long faced a stubborn trade-off: the filters and algorithms that clean noise out of a computed tomography ...

In an era where Spotify uses AI to understand 'your tastes,' what music still needs is 'fans'Spotify is heading in an ...