J. Nathan Matias, assistant professor of communication, is a co-author of “Auditing AI,” which offers AI users from all walks of life an introduction into AI evaluation, which is key for developing trust in the technology.
Ultra-personalized AI for assisted communication risks muting aspects of the user’s identity and can breach privacy, according to a study from a Cornell Tech doctoral student who trained the technology on himself.
Through rapid prototyping and creative experimentation, Harald and his students explore how emerging technologies can reshape the way we interact with both digital and physical environments.
A Cornell doctoral student has helped develop a tool, DanXeReflect, that lets dancers use video and extended reality headsets to create an immersive environment for analyzing and refining their movements.
The National Tutoring Observatory is releasing a new app that lets researchers analyze large datasets of text with the help of AI, for learning about effective teaching and other social science questions.
Conversational AI tools denied blunt requests for harmful content by researchers posing as intimate partner abusers, but these guardrails were easily circumvented, a new Cornell Tech study has found.
Twelve outstanding early-career scholars have been chosen as the 2026 cohort of Klarman Postdoctoral Fellows to pursue research in the sciences, social sciences and humanities.