As AI reshapes higher education, institutions need strong governance frameworks, policies, and change management strategies for responsible adoption. This in-person summit provides real-world models, practical tools, and cases to translate AI policy into action.
Participants will explore governance structures, data oversight, faculty engagement, and infusion of AI across the organization, while addressing cybersecurity, ethics, and compliance. Sessions also focus on change management strategies to foster transparency, trust, and institutional alignment.
Applied Models and Frameworks for AI Governance and Practice
Participants will focus on translating AI policy and governance concepts into actionable strategies grounded in real-world examples from higher education institutions. Participants will explore these key themes:
- Governance structures that promote responsible AI use, balancing innovation with critical considerations like data privacy, cybersecurity, academic integrity, and ethical decision-making.
- Assessing existing policies to identify gaps and opportunities for adapting institutional frameworks to the evolving AI landscape.
- Data governance to ensure appropriate oversight of data used in AI applications, safeguarding privacy and security while fostering innovation.
- Ongoing evaluation and monitoring of AI use across departments, ensuring policies remain relevant and aligned with institutional priorities.
- Faculty and staff engagement to promote informed and responsible adoption of AI tools, including in research contexts.
- Inclusive and equitable access to AI tools and resources, ensuring all students, faculty, and staff benefit from AI advancements.
- Operational support through professional development, infrastructure planning, and AI evaluation processes that align technology adoption with institutional culture, mission, and values.
Leveraging Change Management for Successful AI Adoption and Evolution
Whether you’re leading AI projects, managing impacted teams, or designing responsible AI governance policies, this session will equip you with actionable strategies to ensure AI adoption supports long-term organizational success and aligns with your mission, values, and ethical standards. Participants will
- Review practical frameworks for guiding teams through the AI adoption lifecycle — from initial readiness assessments and pilot projects to scaling and continuous improvement.
- Explore collaborative governance structures, cross-functional and -institutional alignment, and iterative feedback loops can drive both successful AI integration and organizational resilience.
- Support a culture of transparency and trust around AI by incorporating clear communication strategies, addressing employee concerns, and embedding ethical considerations into AI deployment processes.
- Employ a mechanism for continuous improvement and evolution of AI policy, governance and practice by identifying ways AI policy and governance can be adaptive and proactive instead of reactive and stagnant.
- Explore models for AI policy development: Task Force, Student-Driven, Expert Panels, Pilots, and Committees.
Participants will gain practical strategies for translating AI governance principles into institution-wide action. Through real-world examples and frameworks, they’ll learn to navigate AI adoption, ensure ethical use, and foster transparency and trust. This event empowers higher education professionals to shape AI practice that align with institutional values, drive innovation, and support long-term success.
Schedule At-a-Glance
EDUCAUSE Summit Kick Off: Plan and Connect
Tuesday, June 3, 2025 | 3:00–4:30 p.m. ET | Online
Before we gather in person, join us for this 90-minute virtual session to help you get oriented, connect with peers, and start engaging with key themes of AI governance and adoption in higher education. Participants will have the opportunity to:
- Meet fellow attendees, share institutional challenges and successes, and explore practical models and frameworks that will shape our discussions at the in-person event;
- Review and become familiar with foundational resources and frameworks to assess your institution’s AI readiness and begin shaping approaches that align with your mission and values; and
- Start building and engaging with a network and community of professionals committed to advancing responsible and effective AI practices in higher education.
*NOTE The kick-off will be recorded for later viewing, if you are not able to join live.
EDUCAUSE Summit Main Event Days
All times are listed in the Central Time Zone (CT).
| Tuesday
June 10, 2025 |
Wednesday
June 11, 2025 |
Thursday (optional)
June 12, 2025 |
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1:00–1:45 p.m. |
7:30–8:00 a.m. |
8:00–12:00 p.m. |
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1:45–2:45 p.m. |
8:00–9:00 a.m. |
Please note: Participation in Thursday’s programming is optional, but highly encouraged. Participants will have time to reflect on the event and create a plan for next steps. |
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2:45–3:00 p.m. |
9:00–10:00 a.m. |
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3:00–4:00 p.m. |
10:00–10:15 a.m. |
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4:00–5:00 p.m. |
10:15–11:15 a.m. |
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5:30–6:00 p.m. |
11:15 a.m.–12:00 p.m. |
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6:00–8:00 p.m. |
12:00–1:00 p.m. |
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1:00–2:00 p.m. |
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2:00–3:00 p.m. |
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3:00–3:15 p.m. |
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3:15–4:15 p.m. |
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4:15–5:15 p.m. |
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6:00–8:00 p.m. |
EDUCAUSE Summit Debrief: Rewind and Reflect
Tuesday, August 12, 2025 | 3:00–4:30 p.m. ET | Online
Keep the momentum going and join this 90-minute virtual debrief session to continue to
- Reflect & Share – Discuss key takeaways from the in-person event and how you've applied them.
- Tackle Challenges Together – Share obstacles you’re encountering in AI governance, adoption, and practice, and get advice and practical solutions from peers who are facing similar issues.
- Exchange Strategies – Learn from peers about effective models for policy adaptation and cross-functional collaboration.
- Stay Future-Focused – Explore ways to keep AI policies proactive, ethical, and aligned with institutional priorities.
*NOTE The debrief will be recorded for later viewing, if you are not able to join live.