The Higher Education Artificial Intelligence Summit is an invitation-only convening of senior academic and technology leaders. This year, the Summit is proudly co-hosted in strategic partnership with Tennessee State University (TSU), a nationally recognized public land-grant HBCU and a leading voice within the HBCU community. Through TSU’s leadership and deep relationships across Historically Black Colleges and Universities nationwide, the Summit has expanded its reach and impact, bringing together leading universities, HBCUs, and industry innovators to examine the rapidly accelerating role of AI across academic, research, and operational domains.
This expanded partnership reflects a shared commitment to inclusive innovation, equitable access, and cross-institutional collaboration. By working closely with Tennessee State University and HBCU leadership, this year’s Summit will foster robust dialogue around AI strategy, governance, workforce readiness, and institutional transformation to ensure that AI adoption is thoughtful, responsible, and responsive to the diverse missions and communities served by higher education institutions.
Tuesday, March 24 |
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6:00 pm Central |
Registration and AI Art and Music ExhibitionAtrium |
6:30 pm Central |
Welcome Dinner and ShowcaseAtrium |
8:30 pm Central |
End of Reception |
Wednesday, March 25 |
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8:00 am Central |
Registration and Continental BreakfastCapitol Dining Room |
8:30 am Central |
Welcome and Opening RemarksAuditoriumBrian Cohen, Vice President, Center for Digital Education |
8:45 am Central |
KeynoteAuditoriumDr. Kris Alexander, Educational Technology Specialist and “The Professor of Video Games” |
9:50 am Central |
Short BreakPlease proceed to the concurrent sessions |
10:00 am Central |
Concurrent SessionsGoverning AI in Higher Education: Leadership Models, Decisions Makers and Influencer, and What Actually WorksAuditoriumAs AI moves from experimentation to enterprise capability, higher education leaders are grappling with how to govern it responsibly without slowing innovation to a crawl. This session explores governance models that are working across institutions, including centralized, federated, and hybrid approaches. This session will examine how decision rights are defined, how risk, security, and compliance are managed, and how governance structures evolve as AI use expands across teaching, research, and operations. Attendees will leave with practical insights into aligning policy, leadership, and accountability, while avoiding governance that looks good on paper but fails in practice. Powering AI on Campus: Infrastructure Choices That Shape Research, Teaching, and OperationsRoom 353AI ambitions rise or fall on infrastructure decisions that often remain invisible until something breaks or becomes unaffordable. This session demystifies the infrastructure choices powering AI on campus, including GPUs, HPC, cloud, and hybrid models, and explains why these decisions matter far beyond IT. This session will connect infrastructure strategy to research competitiveness, instructional innovation, operational efficiency, cost control, security, and equitable access. Lin Zhou, PhD, PMP, Vice President, Chief Information Officer, and Executive Director of AI and Quantum Computing, Texas Tech University AI Literacy for All: From Faculty and Staff Development to Student FluencyRoom 354AI literacy has become a foundational expectation, but defining and delivering it at scale remains a challenge. This session explores what “AI literacy” means for faculty, staff, and students, and how institutions are embedding it into professional development, coursework, and everyday practice. This session will discuss scalable models, faculty and staff readiness, ethical use, and how literacy efforts intersect with access, equity, and academic integrity. Keith McIntosh, Ed.D., Vice President and Chief Information Officer, University of Richmond |
10:50 am Central |
Networking BreakAtrium |
11:20 am Central |
Concurrent SessionsStrategic AI Investments: Funding for Impact, Not ExperimentsRoom 353With budgets under pressure, institutions must make sharper choices about where and how to invest in AI. This session examines how colleges and universities are prioritizing AI investments that align with mission, deliver measurable outcomes, and scale responsibly. This session will discuss budgeting models, cost transparency, vendor relationships, and the known and hidden operational costs of AI adoption, including infrastructure, workforce readiness, and ongoing subscriptions/maintenance, while also exploring how institutions can evaluate effectiveness and retire unsuccessful initiatives. Vince Kellen, PhD, Chief Information Officer, The Texas A and M University System AI as a Research Force Multiplier: What Research and non-Research Institutions Must Do Now and NextRoom 354AI is reshaping the research enterprise across disciplines, not just in computer science or data-intensive fields. This session explores how AI is accelerating discovery, changing research methods, and influencing funding competitiveness at research and non-research institutions alike. This session will discuss faculty enablement, shared infrastructure, compliance and reproducibility, and how institutions can support AI-enabled research without deepening inequities or overwhelming existing support models. The AI-Fluent Graduate: Aligning Curriculum with Workforce RealityAuditoriumEmployers increasingly expect graduates to understand how to work alongside AI, regardless of discipline. This session focuses on how institutions are aligning curricula, credentials, and learning outcomes with evolving workforce demands without sacrificing academic rigor. Session speakers will discuss what is needed to meet the expectations and needs of employer partnerships, micro credentials, and experiential learning. Carolyn Scott, Chief Academic Officer, American National University Scott Shaw, PhD, EdD, D.Min, LPC, LMSW, Associate Provost, Grace Christian University |
12:10 pm Central |
LunchAtrium |
1:10 pm Central |
Concurrent SessionsFrom Pilots to Platforms: Institutional Use Cases and Models for Scaling AIRoom 353Many institutions have launched AI pilots, but far fewer have successfully scaled them into durable, institution-wide capabilities. This session explores how colleges and universities are moving from experimentation to impact by aligning operating models with concrete, high-value use cases in higher education. Speakers will examine how AI is being applied across teaching and learning, research, student success, and administrative operations, when and where will agents be piloted and deployed, and discuss which use cases scale well and which tend to stall. Attendees will leave with practical insights into how to connect AI use cases to strategy and move from promising pilots to reliable platforms. Dina Vyortkina, Ph.D., Assistant Dean for Innovation and Instructional Technology Enhancement, Anne Spencer Daves College of Education, Health, and Human Sciences, Florida State University The AI-Enabled Back Office: Productivity, Transparency, and Institutional Trust: Scaling Efficiency While Preserving CultureRoom 354As AI enters administrative functions, from enrollment and advising to finance and HR, institutions face both opportunity and risk. This session examines how universities are using AI to improve efficiency and decision-making while maintaining transparency, trust, and human judgment. Speakers will explore workforce impacts, bias concerns, governance guardrails, and how to communicate AI-use clearly to staff, students, and faculty. Christian Drennen, PhD, Director of Academic Technology, Center for Information Technology (CIT), and Co-Chair (Ex Officio), Education Technology Committee, Oberlin College and Conservatory Carolyn Scott, Chief Academic Officer, American National University The AI-Enabled CurriculumAuditoriumAI challenges long-standing assumptions about teaching, assessment, and academic integrity. This session explores how institutions are redesigning curricula for a world where AI is always present. Session speakers will examine instructional design, assessment strategies, faculty governance, and evidence of what improves learning outcomes. The discussion emphasizes responsible integration, academic freedom, and trust. Kevin Yee, PH.D., Special Assistant to the Provost for Artificial Intelligence and Director, Faculty Center for Teaching & Learning, University of Central Florida |
2:00 pm Central |
Summary, Closing and Next StepsAuditorium |
2:30 pm Central |
Closing RemarksAuditorium |
2:45 pm Central |
End of ConferenceConference times, agenda, and speakers are subject to change. |
330 10th Avenue North
Nashville, TN 37203
This is an invitation-only event, open to Public Sector only. For more information or to request an invitation, please contact Jasmin Tetzlaff.
Sponsorship is open to Industry members of the Higher Education Artificial Intelligence Council Program only. To learn more about becoming an Industry member, please contact Heather Earney.
Need help registering, or have general event questions? Contact:
Jasmin Tetzlaff
Center for Digital Education
A division of e.Republic
Phone: (916) 932-1308
E-mail: jtetzlaffl@erepublic.com
Already a sponsor, but need a hand? Reach out to:
Mireya Gaton
Center for Digital Education
A division of e.Republic
Phone: (916) 296-2617
E-Mail: mgaton@govtech.com
Sponsorship is open to Industry members of the Higher Education Artificial Intelligence Council Program only. To learn more about becoming an Industry member, please contact:
Heather Earney
Center for Digital Education
A division of e.Republic
Phone: (916) 932-1339
E-mail: heather.earney@erepublic.com