For consumers, distrust outweighs trust
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 3-Nov-2026 12:17 ET (3-Nov-2026 17:17 GMT/UTC)
Across 21 studies, researchers confirmed that people learned attitudes from a single trust interaction, whether positive or negative. But negative experiences were harder to dispel. The rise in distrust after a negative experience was about double the boost in trust after a good exchange. Surprisingly, the same effects did not occur when people interacted with artificial intelligence, because participants did not see those interactions as social.
Dubbed PATTY, the tool corrects hidden bias in a widely used genomics method, helping scientists distinguish true biological discoveries from false leads.
Space weather warnings could be received hours before Earth is hit rather than minutes with the help of a miniature UK-built instrument soon to be stationed in deep space. MAGIC (MAGnetometer from Imperial College) is part of the European Space Agency's Heliospheric Pioneer for Solar and Interplanetary Threats Defence (HENON) CubeSat mission, which is scheduled for launch in early 2027. By measuring the Sun's magnetic field much farther upstream than current real-time space weather monitors, the mission aims to extend advance warning of severe solar storms from just tens of minutes to several hours. The research is being presented at the Royal Astronomical Society's National Astronomy Meeting this week in Birmingham by Jonathan Eastwood, Professor of Space Physics in the Department of Physics (Blackett Laboratory) at Imperial College London.
Researchers have built a tool to uncover hidden issues in the massive datasets used to train medical AI.
The tool searches training data for subtle patterns that could lead AI models to incorrect conclusions, potentially jeopardizing patient care. The work aims to help researchers and regulators make artificial intelligence more reliable and trustworthy for real-world clinical use.
Silicon photonics has emerged as a promising technology for addressing bandwidth and latency bottlenecks of conventional electrical interconnects and therefore are being explored for future artificial intelligence infrastructure. However, heterogenous integration of multiple material systems remains a challenge. Now, researchers show how micro-transfer printing can enable highly versatile heterogenous integration to expand the functionality of silicon photonics, paving the way for advanced photonic systems.
A new study examines how pre-service L2 English teachers manage student reluctance during microteaching sessions. Using conversation analysis, it shows how novice teachers use explanatory accounts, including smiles, wait time, and gradual nomination, to reduce participation pressure. The findings suggest that microteaching is a valuable space for pre-service teachers to develop classroom interactional competence and sensitive turn-allocation skills before entering real classrooms as future language educators.