AI hallucinations produce confident but false outputs, undermining AI accuracy. Learn how generative AI risks arise and ways to improve reliability.

ALSO: Tom’s new book Artificial Intelligence for Urban Planning was recently published by Routledge. The book discusses how ...

What makes a large language model like Claude, Gemini or ChatGPT capable of producing text that feels so human? It’s a question that fascinates many but remains shrouded in technical complexity. Below ...

For AI to truly be groundbreaking for neuroscience, Pavlick asserted, it is essential to understand how the machine itself ...

As AI agents become cheap, tireless attackers, the old assumptions behind corporate cybersecurity are breaking down.

Buzz Hays wants to make sure his colleagues in Hollywood understand the pros and cons of generative AI, in particular, fine-tuning models. “The thing that got us through this project is a process that ...

The startup, which has a long history of developing AI for live chat moderation, today announced its first Ensemble Listening ...

What happens when artificial intelligence becomes too eager to please? Imagine asking an AI for advice, only to realize later that its response was more about agreeing with you than offering accurate ...

As OpenAI and Anthropic move deeper into healthcare, experts say AI chatbots are becoming the new front door to medicine. This shift is shaking things up for some health tech startups, redefining the ...

Common Sense Media recommended that parents engage with their children directly and guide them towards more traditional ...

Consulting giant Deloitte has agreed to refund part of a $440,000 consultancy fee to the Australian government after admitting that a report it delivered, which included AI-generated content, was ...

Whether AI models will become super-intelligent or not, the risks posed by them are already here, and not in the future, like ...