If you’ve ever asked ChatGPT a question only to receive an answer that reads well but is completely wrong, then you’ve witnessed a hallucination. Some hallucinations can be downright funny (i.e. the ...

A team of five members of the U.S. FDA staff published a review of the use of AI in health care and concluded that while hallucinations in AI systems can be minimized, the trade-off is that efforts to ...

Hearing imaginary voices is a common but mysterious feature in schizophrenia. Up to 80 percent of people with the disease experience auditory hallucinations—hearing voices or other sounds when there ...

For decades, scientists have suspected that the voices heard by people with schizophrenia might be their own inner speech gone awry. Now, researchers have found brainwave evidence showing exactly how ...

Generative AI chatbots like Microsoft Copilot make stuff up all the time. Here’s how to rein in those lying tendencies and make better use of the tools. Copilot, Microsoft’s generative AI chatbot, ...

A new study led by psychologists from UNSW Sydney has provided the strongest evidence yet that auditory verbal hallucinations – or hearing voices – in schizophrenia may stem from a disruption in the ...

Summary: A new study reveals that auditory hallucinations in schizophrenia may arise when the brain fails to recognize its own inner voice as self-generated. Normally, the brain predicts the sound of ...

With AI slowly becoming a part of many people’s day to day lives, it’s important to know if information that these companions are providing are actually accurate. An AI hallucination is when an AI ...

The Australian Financial Review reports that Deloitte Australia will offer the Australian government a partial refund for a report that was littered with AI-hallucinated quotes and references to ...

OpenAI has published a new paper identifying why ChatGPT is prone to making things up. Unfortunately, the problem may be unfixable. When you purchase through links on our site, we may earn an ...

In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational ...