Reviewing the IHE Decision Guide: Moving From AI Hesitation to Action in Higher Education

As artificial intelligence becomes increasingly accessible in higher education and embedded in everyday workflows, colleges and universities are under pressure to adapt. But adapting to AI’s presence in higher education requires more than just adopting new technologies; there must also be changes in mindsets, governance, and institutional cultures. The big question surrounding AI right now is not whether it belongs in higher education, rather it’s how institutions can thoughtfully implement AI to support their mission without compromising academic integrity, student trust, or data security.

In a companion piece to its 2025 Survey of Chief Technology and Information Officers, Inside Higher Ed published its latest Decision Guide: Overcoming Challenges to Embrace AI in Higher Education. This Decision Guide evaluates some of most pressing challenges and opportunities related to AI adoption and—instead of offering quick fixes—goes over practical considerations that every institution must face if they want to integrate AI responsibly and effectively. Below, we explore three key takeaways from the Decision Guide.

1. Risk Aversion Is Real, and It Needs a Strategy

Despite the promise of AI, misinformation, exaggerated claims, and fears of academic dishonesty have created a cautious climate surrounding AI adoption. It’s important for institutions to understand that AI skepticism isn’t rooted in technophobia—it’s often a sign of thoughtful concern. Faculty want to know how AI will impact pedagogy, academic standards, and the student-teacher relationship. Without that clarity, fear fills the gap.

To overcome fears, the Decision Guide emphasizes that institutions should make it clear to faculty and staff that AI will be implemented systematically and thoughtfully. Rather than issue lists of “approved tools,” institutions should offer clear, contextual guidance for adopting artificial intelligence as a whole. Instituting pilot programs, open forums, and transparent decision-making will signal that the institution is thinking critically about AI. These actions can begin to turn resistance into engagement.

2. AI Readiness Begins With Data Stewardship

AI is only as effective as the data it relies on. Yet many institutions still treat data as a departmental concern rather than a strategic asset. The Decision Guide notes that data fragmentation is one of the most significant barriers to successfully integrating artificial intelligence. When different departments maintain separate systems, formats, and standards, it becomes nearly impossible to extract insights or build reliable predictive models. The effective use of AI demands clean and consistent data, qualities that that only come from a shared commitment to data stewardship.

Without strong data foundations, even the most promising AI tools will underperform—or worse, mislead. The Decision Guide highlights the need for campus-wide data governance and clarity on ownership, accuracy, and access. Institutions need to empower data professionals to work across divisional lines and establish clear protocols for how data is collected, maintained, and used.

3. AI Implementation Strategy Can't Be Siloed

Perhaps the most urgent takeaway from the Decision Guide is that implementing AI must be a campus-wide initiative. If one department moves ahead while others lag behind, institutions risk creating an uneven playing field—technologically, pedagogically, and financially. The Decision Guide recommends that institutions avoid piecemeal adoption and instead develop cohesive, transparent strategies that involve academic leadership, IT, and faculty from the start.

Preparing to Embrace AI in Higher Education

AI is no longer a problem for the future; it’s a present-tense issue requiring deliberate, institution-wide planning. The decisions made now will shape how effectively colleges and universities serve students well into the future.

Explore the full article for deeper insights and practical guidance from higher ed leaders actively navigating AI adoption.