Higher‑education practitioners are designing agile, equity‑minded academic‑integrity guidelines for generative AI through co‑creation with faculty, students and staff to avoid punitive, one‑size‑fits‑all policies. Pilot work at the American University in Cairo and other institutions emphasizes transparent, updateable rules and student voice to limit disparate impacts. At the same time, educators outline how AI enables differentiated instruction at scale — using AI to generate tailored materials and adaptive assessments to meet varying student readiness without multiplying instructor workload. Both efforts focus on pedagogy, assessment design and governance to integrate AI responsibly into curricula.