News

Artificial intelligence (AI) is rapidly evolving, and with it, strong guidance on how to use it safely is becoming essential. Through our work with the broader research administration (RA) community, our team has seen a growing need for clear guidance on how, when, and where AI can be used in RA work.

Artificial Intelligence (AI) is one way that we can address the challenges of onboarding, training, and education of research administrators. AI tools are not just for automating tasks but can also be key in revolutionizing how we capture, structure, and disseminate institutional knowledge.  

Most people encounter generative artificial intelligence through an application. They upload a document, ask a question, and receive an answer without having to think much about where the model is running or who controls the infrastructure behind it. But for a university, those questions matter. They shape what happens to institutional data and which models students, staff, faculty, administrators, and researchers can use. They also determine how much control the institution keeps over the systems it depends on. 

Artificial intelligence is changing how universities search, summarize, analyze, and generate information. AI is powerful, which is perhaps why less experienced users are sometimes surprised by this limitation:

his piece tackles a problem that’s becoming more relevant as AI tools spread into everyday work: how do you check the quality of something an AI produced, when there’s no answer key to grade against?