Slapping a label on AI-generated content is the regulatory world’s current favourite answer to the misinformation problem. Transparent, scalable, required by law in China and under the EU AI Act, endorsed by Meta and X. The logic seems obvious enough: tell people a machine wrote something and they’ll scrutinise it harder. They didn’t, as it … Read more
In hospitals where seconds matter, physicians often face a data paradox: vast electronic records but little time to extract meaning. Researchers at the Icahn School of Medicine at Mount Sinai have now developed an artificial intelligence system that transforms this flood of information into structured insight. The tool, called InfEHR, interprets how clinical events relate … Read more
Modern telescopes are magnificent gossips, generating millions of alerts every night about potential changes in the cosmos. The problem? Most of these whispers are lies – satellite trails, cosmic ray hits, instrumental hiccups masquerading as genuine discoveries. For years, astronomers have deployed specialized neural networks to separate wheat from chaff, but these systems operate as … Read more
Artificial intelligence chatbots like ChatGPT are being widely used in healthcare, but a new study warns they may be dangerously susceptible to medical misinformation. Researchers at the Icahn School of Medicine at Mount Sinai found that leading AI models often repeat or even elaborate on false clinical details embedded in user questions, raising serious safety … Read more
Three surgical robots trained on video demonstrations have achieved what many thought was years away: performing complex procedures with the precision of expert surgeons and the adaptability to handle the unexpected twists that define real medical emergencies. The systems mark a watershed moment where artificial intelligence moves from simple surgical assistance to genuine autonomous decision-making … Read more
Hybrid collectives consisting of humans and artificial intelligence make significantly more accurate medical diagnoses than either medical professionals or AI systems alone. New research analyzing over 40,000 diagnoses reveals that combining human expertise with AI models creates a powerful diagnostic partnership that outperforms traditional approaches. The study, published in Proceedings of the National Academy of … Read more
The widespread push for AI “guardrails” fundamentally misunderstands how to regulate artificial intelligence safely and effectively, according to new research from University of Pennsylvania and University of Notre Dame scholars. Instead of fixed barriers that constrain innovation, policymakers should impose flexible “leashes” that allow AI to explore new domains while maintaining constant human oversight, the … Read more
Workers replaced by artificial intelligence react differently at the cash register than those laid off by human competitors, according to new research that reveals how automation anxiety shapes our shopping habits. A study spanning five experiments found that people who lose their jobs to AI algorithms or robots gravitate toward flashy, status-symbol purchases, while those … Read more
Artificial intelligence systems are getting better at mimicking how humans naturally connect what they see with what they hear. MIT researchers have developed a new machine-learning approach that helps AI models automatically match corresponding audio and visual information from video clips—without needing human labels to guide the process. The breakthrough could eventually help robots better … Read more
MIT researchers have developed a probabilistic framework that could fundamentally alter the economics of AI code generation, potentially challenging the assumption that bigger models automatically deliver better results. The innovation, leveraging sequential Monte Carlo (SMC) techniques, offers a path for smaller language models (LLMs) to outperform specialized commercial systems more than twice their size, as … Read more