Artificial Intelligence News

WROC-TV highlights a new bachelor’s degree in artificial intelligence starting this fall.

WXXI reports that RIT is launching a new bachelor’s degree in artificial intelligence, highlighting coursework and program offerings designed to prepare students for careers in AI.

RIT now offers a bachelor’s degree in artificial intelligence. The interdisciplinary undergraduate program blends core programming and algorithmic principles with the chance for specialized study in areas like agentic AI and robotics.

Computer science major Emma Schmitt took a required co-op seminar class to help prepare for the internship search and what do to on the job, helping her land co-ops at Honeywell/LenelS2 and Microsoft.

In an article for The Conversation, imaging science Ph.D. student Sagar Lekhak explains how using drones, sensor data, and AI can make detecting land mines safer and more efficient.

In a guest post for The Scholarly Kitchen, Greyson Pasiak, GCCIS and student success librarian, explores how an expanded workload created by the implementation of generative AI can lead those in higher education to burnout.

Government Technology highlights Grammar Laboratory, a tool developed by Erin Finton, lecturer for RIT's National Technical Institute for the Deaf. The tool makes English grammar practice more accessible for deaf and hard-of-hearing students.

Justin Pelletier, a Professor of Practice and director of the GCI Cyber Range and Training Center, discussed how AI systems are becoming tools for strategic influence in an article for The Conversation.

WXXI speaks to Ashique KhudaBukhsh, assistant professor in the Department of Software Engineering, about stress testing large language models to see how susceptible they are to caving to faulty information.

Rochester Business Journal speaks to RIT President Bill Sanders about his perspective on the issues shaping higher education in the year ahead.

Republic World reports on RIT’s HAUNT framework, which tests how large language models respond to misinformation.

Researchers have created a new tool to stress test large language models (LLMs) that power AI chatbots, including ChatGPT. Using this innovation, developers can build more trustworthy AI systems and users can see which LLMs contradict themselves.