AI is moving quickly across research and higher education, but many campuses are still trying to answer a more practical question: how do we use these tools responsibly and effectively?
That was the focus of the first session in the MS-CC AI Readiness Webinar Series, “AI in Practice: What AI Means for Research and Higher Education.” The session explored what AI actually is, where it helps, where it fails, and how institutions can begin thinking about AI beyond the hype.
One of the biggest takeaways from the webinar was that AI should be treated as an assistant, not an authority. AI tools can summarize information, help explore ideas, organize content, and accelerate workflows, but they do not replace human expertise, judgment, or accountability.
As discussed during the session, AI systems are probabilistic. They generate likely answers based on patterns, not verified truth. That means researchers, educators, and campus staff still need to evaluate outputs, validate sources, and apply disciplinary expertise.
The webinar also introduced foundational concepts, including large language models, datasets, embeddings, retrieval-augmented generation (RAG), chatbots, and prompt design. Rather than focusing only on terminology, the session emphasized practical thinking: defining clear goals, providing context, setting constraints, and verifying results.
A major theme throughout the discussion was that AI readiness is not just about access to tools. Many institutions are working with limited infrastructure, staffing, and technical capacity. Successful AI adoption requires realistic use cases, governance, human oversight, and workflows that can actually be sustained.
That is where MS-CC aims to help.
The AI Readiness Webinar Series is designed to help institutions move from curiosity and experimentation toward practical implementation. Upcoming sessions will focus on hands-on workflows, AI tools that can be used immediately, infrastructure considerations, governance, ethics, and scaling AI efforts responsibly.
The next webinar, happening on Wednesday, May 20th, “AI Workflows You Can Use Today (No Coding Required),” will explore practical tools and workflows that participants can begin applying right away.
For campuses trying to navigate the growing pressure around AI adoption, the message from the first session was simple: AI can help people work faster and explore more possibilities, but human expertise remains at the center of the process.
By Amanda Tan, Associate Director, MS-CC Research Development