We’ve trapped AI in a Turing test, measuring it by how well it imitates us instead of how much it reveals beyond us.

It took an emotionally complex man to first imagine a world in which machines could ‘think’, writes Satyen K. I don’t recall ...

Now, though, “chatfishing,” a new wave of online deception, is taking over dating apps. Instead of “catfishing”—using an ...

Perhaps the most exceptional mind to think about thinking machines before 1956 was the British mathematician Alan Turing.

As far back as 1980, the American philosopher John Searle distinguished between strong and weak AI. Weak AIs are merely ...

Some of today’s most capable AI systems are refined versions of large language models (LLMs) that predict text on the basis ...

Generally speaking, AI poisoning refers to the process of teaching an AI model wrong lessons on purpose. The goal is to ...

We’ve created something in our own image, and have started to worry about how well we know it. What are the very real near-future fears? Take a look.

Large language models have become enormously powerful tools for summarizing existing knowledge and generating text, figures, and references for scientific publications. This power can be abused to ...

A new "blueprint" for building AI that highlights how the technology can learn from different kinds of data—beyond vision and ...

Many have made it their business to predict the AI bubble burst. But an analysis of computing history should make it ...

Researchers at the University of Sheffield and Alan Turing Institute have developed a new framework for multimodal AI, ...