This year’s EDUCAUSE Annual Conference in Nashville delivered a simple, unmistakable message that sustainable, student-centered progress happens when shared purpose meets personal accountability. Introduced in Joy Buolamwini’s opening keynote on the risks of algorithmic bias, the message rippled throughout all three days of conversations on leadership, data, student success, and yes, artificial intelligence (AI). These threads pointed to a central truth that shaped our own presentation: meaningful AI progress requires shared governance that aligns institutional intent with individual responsibility.
Designing the Road for AI Success
Fortuitously scheduled immediately following the keynote, the interactive poster presentation, “AI Governance: From Silos to Strategy,” encapsulated the week’s theme. The poster emphasized that responsible, ethical, and safe deployment of AI technologies begins with strategic planning, which establishes the collective will, and continues through the actions of individuals across the institution. To illustrate how that commitment takes shape in practice, the poster shifted next to the structures designed to support and sustain the work.
A cross-functional team, backed by executive sponsorship, forms the backbone of the AI Governance effort. The image below illustrates the core elements of this framework. It outlines the structural components that give the team its authority and clarity of purpose, including a defined scope, representation across units, assigned roles, and alignment with institutional values. It also highlights the shared communication signals that keep departments coordinated, transparent, and engaged as work progresses. A team charter defines the group’s purpose, membership, and decision-making structure. Together, these pieces show how the AI Governance team provides the oversight and communication framework that supports departments across the institution.
Although authored prior to the EDUCAUSE 2026 Top Ten report’s release, it nonetheless echoed one of its central points: “shared governance clarifies standards, roles, and processes so decisions move faster, not slower.” The image reinforces this idea by presenting the AI Governance team as the road that connects people and departments across campus, illustrating how a clear structure facilitates coordinated communication and consistent action.
Visualizing AI Progress: Tracking Across Key Concepts
The governance framework, with its defined team, executive sponsorship, charter, and shared signals, creates the conditions for steady, campuswide progress. To show how that progress is taking shape, the poster invited attendees to assess key AI initiatives at their own institutions. Using green, orange, or red stickers, participants rated areas such as acceptable-use guidelines, procurement and monitoring of AI tools, AI literacy programs, ethical decision-making, and data security to show which efforts were complete, in motion, or struggling to gain traction.
Acceptable use and executive sponsorship received thirteen and ten green stickers respectively, while literacy, ethics, and security showed a healthy mix of green and orange. Procurement, however, received only orange stickers, reinforcing the need for stronger cross-department communication and clearer budget planning. The takeaway was consistent: shared governance sets the direction, but steady individual action turns plans into sustained outcomes.
When thinking about AI on campus, effective AI governance can help institutions move beyond the “wild, wild west” feeling and onto a more intentional road toward progress.
Part of the excitement surrounding the poster sprang from the conference’s intentional focus on communication and collaboration. Full sessions weren’t scheduled during poster hours, which no doubt played a role in the large numbers of people circulating around the poster area. Moreover, housing posters in each of the Educause Commons neighborhoods allowed attendees to drift from vendor tables to coffee stations to posters without breaking stride, and casual encounters to become substantive exchanges.
In many ways, that balance between structure and spontaneity, between institutional alignment and individual agency, defined the spirit of this year’s conference. Educause 2025 reminded attendees that governance is not bureaucracy; it’s choreography. When shared intent meets personal accountability, progress becomes sustainable, inclusive, and real.
As institutions move further into AI adoption, the strength of their governance efforts will depend on having reliable, secure, and well-managed data. Ellucian supports this work through Data Governance services, which help campuses build the structures, practices, and clarity needed for responsible data use. Institutions looking to advance their AI strategies should begin by ensuring that their data governance is strong enough to support them.
Contact Ellucian to learn more about supporting your institution’s data governance.
