Universities Sideline Faculty in AI Decision-Making, Report Reveals

What Happened

A report covered by Inside Higher Ed highlights that university faculty are often excluded from critical decisions regarding artificial intelligence implementation in higher education. Although AI adoption is expanding on campuses for teaching, research, and administration, the study shows most related decisions are driven by senior leadership teams and IT departments. Input from faculty members and academic departments is rarely sought, raising questions about transparency, shared governance, and the practical impact of AI policies on academic work. The finding applies across a range of institutions, signaling a widespread issue as universities respond to the rapid rise of AI tools.

Why It Matters

Excluding faculty from AI decision-making could hinder effective integration and raise ethical or pedagogical concerns. Faculty buy-in is vital for successful and responsible AI adoption in education. Read more in our AI News Hub