The BYU Kennedy Center for International Studies is a major academic hub within Brigham Young University, dedicated to advancing global understanding through undergraduate education, language training, faculty research, and study abroad programs. It serves a large student population within a university of 5,001-10,000 employees, fostering expertise in foreign languages, area studies, and international policy. Its mission is to prepare students for global service and leadership by connecting them with worldwide opportunities and scholarly insights.

Why AI matters at this scale

For an organization of this size and mission, AI is not a luxury but a strategic lever to manage complexity and personalize at scale. Manually matching thousands of students with hundreds of global programs, internships, and research fellowships is inefficient and risks missed opportunities. Similarly, faculty and student researchers analyzing global trends are inundated with information. AI can automate matching, synthesize vast datasets, and provide always-available language practice, freeing human experts for high-touch mentorship and deep analytical thinking. This allows the center to amplify its impact, potentially serving more students more effectively without linearly increasing staff.

Concrete AI Opportunities with ROI

1. AI-Powered Global Opportunity Matchmaker: An AI system analyzing student transcripts, language tests, and interest surveys could automatically recommend tailored study abroad programs and internships. ROI: Increased program enrollment and improved student satisfaction/retention by ensuring better fits, directly supporting the center's educational mission and resource utilization. 2. Research Acceleration Suite: Deploying secure LLMs and data analysis tools can help researchers quickly digest multilingual news, academic papers, and policy documents. ROI: Faster publication cycles, more competitive grant proposals, and enhanced institutional reputation for timely, relevant policy insights, attracting more research funding and top-tier faculty. 3. 24/7 Conversational Language Lab: AI-driven conversational agents can provide supplemental practice for critical language students, simulating real-world interactions. ROI: Improved language proficiency outcomes without proportionally increasing teaching staff costs, leading to higher test scores and more students achieving advanced competency for prestigious fellowships.

Deployment Risks for a Large University Center

Implementing AI in a large, decentralized higher education environment carries specific risks. Data Silos & Integration: Student data often resides in separate systems (registrar, language center, study abroad office), making it difficult to build a unified AI view. Cultural Resistance: Faculty may view AI as a threat to academic rigor or fear plagiarism, requiring careful change management and co-creation of tools. Budget Cycles & Procurement: University budgeting is often annual and rigid, clashing with the iterative, subscription-based nature of AI SaaS platforms. Compliance & Ethics: Handling sensitive student data (FERPA) and ensuring AI recommendations are unbiased and equitable requires robust governance, which can slow deployment. Skill Gaps: While IT staff exist, dedicated AI/ML talent is scarce in academia, potentially leading to over-reliance on vendors and integration challenges.