Generative AI has the potential to transform the way we operate at the University of Richmond. From teaching and learning to administration, the use cases for generative AI are promising. Understanding how to use these systems ethically and securely will ensure that we are able to take full advantage of their capabilities.
This primer provides foundational knowledge about generative AI, covering its definition, how it works, a comparison of widely used tools, key capabilities relevant to higher education, limitations and considerations for implementation, and the potential impact areas within academic settings, ensuring everyone has a common understanding.
Four members of the Class of 2025 heading to Syracuse University, Penn, Oxford, and MIT are among the 100-plus recent Richmond alumni on their way to graduate school this fall.
2024 saw the introduction of support for artificial intelligence (AI) at the University of Richmond, with the publication of usage guidelines for students, faculty, and staff on a new GenAI website and a pilot program for faculty and student use of different AI systems via SpiderAI. A tool for anyone at the University who communicates, MessageAI, was also released (note that you must be on the campus network or VPN to access).
Here's a sampling of professors called upon to lend their voices to news stories about teaching rats to drive, artificial intelligence, and other topics during 2024.