Hidden goals can undermine AI teamwork, study finds

Large language models (LLMs), the computational models that underpin conversational agents such as Gemini and ChatGPT, are now widely used by people worldwide to rapidly find information, summarize documents and generate texts for specific purposes. Some computer scientists are now combining two or more of these models to create multi-agent systems, which prompt multiple artificial …

AI models nearly erase female characters when they write kids stories about animals

Last year, Melanie Walsh, a University of Washington assistant professor in the Information School, wrote an article examining how 300 popular children’s books gendered their animal characters. Of the 13 most common animals, most were male—unless they happened to be cats, ducks or birds, which trended slightly more female. But a frog, a wolf? More …

People prefer stories written by AI—especially when told they’re written by a human

People gave the highest ratings to AI-generated stories they were told had been written by humans and were unable to tell the difference between human- and AI-created stories, according to new research published in Judgement and Decision Making. The study, led by researchers at Villanova University, U.S., adds to the growing body of evidence that …

Noninvasive AI-based system translates brain signals into written text

Some physical injuries and neurological conditions can temporarily or permanently impair movement, leaving some people unable to speak, type on keyboards or use electronic devices. Brain-computer interfaces (BCIs), systems that can decode brain activity patterns and convert them into computer commands or written text, could be of great value for paralyzed patients.

AI reduces sensory hallucinations, even at night or in smoke

Multimodal large language models (MLLMs), which process multiple types of sensory information, such as text, images and audio, at the same time, are rapidly expanding the range of applications for artificial intelligence (AI). However, in real-world environments, these models can misinterpret the physical characteristics of sensors, mistakenly identify objects or claim to hear sounds that …