Artificial intelligence is increasingly embedded in the everyday practices of higher education, shaping assessment, governance, labor, and institutional legitimacy. Rather than presenting a technical guide or policy checklist, this volume instead offers a reflective, multi-voiced examination of what AI means for higher education’s purpose, identity, and future. Its phenomenological grounding shifts the focus from operational questions of implementation to deeper inquiries into how AI resha...