AI Governance Framework for Higher Education - Free Practitioner's Guide

What's Inside the Framework

For IT leaders implementing governance AND business leaders approving AI tools

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Vendor & Third-Party AI Intake

Complete evaluation framework for assessing external AI tools before they touch institutional data. Includes decision trees for business leaders and technical checklists for IT teams.

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Student-Facing AI Systems

FERPA-compliant governance for AI in admissions, advising, financial aid, and student services. Includes questions business leaders should ask before approving tools that touch student data.

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Faculty Research & AI/ML

Navigate IRB requirements, export controls, and sponsor compliance for AI in research

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Administrative Operations

AI governance for Finance, HR, IT, Facilities, and Communications departments. Clear risk frameworks for business leaders evaluating AI tools for mission-critical functions.

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In-House Model Development

Complete lifecycle governance for internally built AI/ML systems with model card templates

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Federal Funding Positioning

Title III, NSF, DOD, DOE, and NIH readiness with governance artifacts reviewers expect

Built for Both Technical and Business Leaders

This isn't just a technical manual. Whether you're implementing AI governance or deciding whether to approve an AI tool for admissions, enrollment, or student success—this guide gives you the frameworks, questions, and risk assessments you need.

  • 75+ pages of scenario-based, practical guidance
  • Technical crosswalks AND executive decision frameworks
  • Clear questions to ask vendors and stakeholders
  • Ready-to-use governance templates and checklists
AI Governance Framework for Higher Education sample page showing scenario-based governance modules

Get Your Free AI Governance Framework for Higher Education

A practical, scenario-based guide designed for CIOs, IT VPs, Chief AI Officers, and business leaders navigating AI governance in higher education. Whether you're implementing governance or approving AI tools for admissions, enrollment, student success, or finance—this framework helps you ask the right questions and make mission-aligned decisions. Built on NIST AI RMF, ISO/IEC 42001, and federal compliance standards.

  • For IT leaders: Technical crosswalks to NIST, CIS, ISO standards
  • For business leaders: Clear questions to ask before approving AI tools
  • Scenario-based modules for real-world situations
  • Built for higher education's shared governance reality
  • Title III & federal funding positioning guidance

Download Your Free Copy

Instant access to the complete practitioner's guide

About the Author

Dr. Mel Fenner Jr., PhD, MBA, CISSP

Dr. Mel brings 20 years of experience leading technology and security initiatives across higher education institutions ranging from 1,500 to 60,000 students. As a CISSP-certified cybersecurity professional with a doctoral background in technology innovation, he has specialized in balancing innovation with privacy, security, and institutional accountability in shared governance environments.

"This framework was developed specifically for the realities of higher education — where governance is shared, innovation happens at the edges, and IT leaders must protect their communities without becoming bottlenecks to progress."