AI Policy for Higher Education Institutions
Most institutions already have staff and students using AI tools for teaching, research, and administration. Far fewer have a formal policy in place to govern that use.
Some institutions respond with a blanket ban. Some issue a general warning about misuse. Some say nothing and wait to see what happens. None of these are a policy, and they leave institutions exposed when questions come from regulators, staff, or students.
Veritas Quality Solutions builds AI policy that fits your institution’s existing quality and governance structures, so it can be applied in practice rather than sitting as an unused document.
Who This Is For
- Institutions without an AI policy
- Institutions with a policy that is outdated or was never fully developed
- Governing boards that need a clear framework to review and approve
- Institutions preparing for accreditation review, where AI governance is now often expected
What Veritas Quality Solutions Does
AI Readiness Evaluation Instrument (Optional First Step)
Where useful, engagements begin with the AI Readiness Evaluation Instrument for Higher Education Institutions, Dr. Pierre’s own diagnostic tool for assessing where an institution currently stands. This step is used when it adds value. Institutions with a clear picture of their current state can move straight to policy drafting.
AI Policy Development and Review
Drafting a new policy, or reviewing and strengthening an existing one. This covers acceptable use for students, faculty, and staff, academic integrity, data privacy, and disclosure requirements.
Integration Into Existing Quality Management Systems
AI policy connected to your institution’s existing quality management system and academic policies, so it is part of daily practice rather than a separate document.
Staff and Faculty Guidance
Practical guidance for the people who will apply the policy day to day. This is the step institutions most often skip.
Board-Level Briefing Support
Clear briefing materials so governing boards can review, question, and approve AI policy with a full understanding of what it covers.
What You Receive
- An AI readiness evaluation, where applied
- An institutional AI policy document, ready for board review and adoption
- Implementation guidance for rolling out the policy
- A staff and faculty training outline
- Recommendations for connecting AI policy to your existing QMS
Why Veritas Quality Solutions
This work is led by Dr. Gersha Pierre, who holds a specialization in Generative AI for Educators (University of Illinois) and brings a quality assurance background to AI policy work.
Many institutions treat AI policy as a technical matter for IT to handle. A quality assurance approach looks at it differently: who is accountable, how the policy connects to standards already in place, and how it will be reviewed as the technology changes. With 20 years in quality assurance, accreditation, and institutional governance, Dr. Pierre builds AI policy the same way she builds any governance document, to hold up under scrutiny.
The Outcome
An AI policy that is reviewed, board-approved, and connected to your existing governance structure, rather than a template copied from elsewhere.
Frequently Asked Questions
Does this replace an academic integrity policy, or work alongside it?
Alongside it. AI policy and academic integrity policy need to be consistent with each other. They should not be merged into a single document.
How long does AI policy development take?
A typical policy takes 2 to 4 weeks. This depends on whether it is a new policy or a revision, and how much consultation with staff and stakeholders is needed.
Is this only for institutions already using AI tools, or also for those just starting to think about it?
Both. Most institutions already have staff and students using these tools, whether or not this has been formally acknowledged. The main question is usually how to catch up with a policy, not whether one is needed.