University process
Steering Committee
A faculty steering committee is leading outreach and development of university principles, with monthly progress reports to the Faculty Senate.
Independent field guide
How Georgetown is organizing AI governance, and where the public-interest work is happening.
A source-led map of the university process, the questions it must address, and the research communities already contributing to the debate.
Important boundary. Hoyas.ai is independent. This guide describes announced structures and public work. It does not speak for Georgetown or predict decisions the university has not made.
The process
01 / 04
One steering committee, three formal input paths.
The structure is designed to gather perspectives from faculty, staff, and students before university-wide principles are finalized.
Input group 01
Research
The research group is intended to bring research practices, opportunities, and risks into the university process.
Input group 02
Teaching and pedagogy
This group brings course design, learning, faculty practice, and student experience into the work.
Input group 03
Administration and operations
This group addresses how AI affects university systems, services, technology, and day-to-day operations.
What to watch
02 / 04
December 2026
Georgetown University Principles for AI Use
The Steering Committee is expected to seek Faculty Senate endorsement after outreach and monthly progress reports.Spring 2027
Practical guidance
The original initiative announcement anticipates operational guidance following the higher-order principles.Current pilot
AI Fellows
Faculty and students are testing course-level uses, limits, assignments, materials, and feedback.Public-interest landscape
03 / 04
Governance is wider than policy writing.
It also includes the research, teaching, implementation, and public dialogue that help a community decide what responsible practice requires.
Human dignity and the common good
Georgetown conversations connect AI choices to Jesuit and Catholic values, work, human agency, and responsibility.
Law, privacy, and accountability
Faculty and centers study surveillance, consent, platform governance, data protection, and the legal institutions shaping AI.
Security and international competition
CSET research and public commentary examine safety, China, cyber operations, talent, and emerging-technology policy.
Teaching and learning
CNDLS, faculty, students, and the AI Fellows pilot are testing how AI can support learning without weakening judgment or integrity.
Health and applied research
Georgetown and MedStar researchers are applying AI to health data, clinical research, and interdisciplinary education.
Work, business, and public policy
Programs across McDonough, McCourt, Law, and other units examine labor, organizational change, literacy, and implementation.
Open questions
04 / 04
The decisions that will define the framework.
These are questions Hoyas.ai will track as official documents, meetings, pilots, and guidance become public.
- Which AI uses require university-wide guardrails, and which decisions remain with schools, programs, instructors, or researchers?
- How will Georgetown protect privacy, intellectual property, academic integrity, accessibility, and human judgment?
- How will students, staff, and faculty see how their input influenced the final principles?
- How will the university evaluate tools, disclose changes, and revise guidance as technology evolves?