From flattery to debate: Training AI to mirror human reasoning

Generative artificial intelligence systems often work in agreement, complimenting the user in its response. But human interactions aren’t typically built on flattery. To help strengthen these conversations, researchers in the USF Bellini College of Artificial Intelligence, Cybersecurity and Computing are challenging the technology to think and debate in ways that resemble human reasoning.

AI and brain control: New system identifies animal behavior and silences responsible neurons in real time

A male fruit fly in a laboratory chamber extends his wings and vibrates them to produce his species’ version of a love song. A female fly stays nearby listening. Suddenly, a green light flashes across the chamber for a fraction of a second. The male’s song cuts off mid-note and his wings fold. The female, …

AI reads brain MRIs in seconds and flags emergencies

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining which cases need urgent care. Trained on hundreds of thousands of real-world scans along with patient histories, the model achieved accuracy as high as 97.5% …

AI decision aids aren’t neutral: Why some users become easier to mislead

Guidance based on artificial intelligence (AI) may be uniquely placed to foster biases in humans, leading to less effective decision making, say researchers, who found that people with a positive view of AI may be at higher risk of being misled by AI tools. The study, titled “Examining Human Reliance on Artificial Intelligence in Decision …