This book explores how Artificial Intelligence is reshaping language education, acknowledging both its pedagogical potential and the challenges it introduces. It examines teacher cognition, assessment, feedback, and intercultural training alongside concerns about ethics, bias, and hallucinated content. Together, these discussions reflect on what responsible and well-informed use of AI in Higher Education should entail. Through case studies, exploratory investigations, and reflective analyses, contributors present practical approaches to classroom integration. Drawing on a range of institutional and linguistic contexts, the volume traces the evolving professional role of language teachers, showing that human judgement and disciplinary expertise remain essential even as AI becomes more prominent in educational ecosystems. The collection supports educators, researchers, and practitioners navigating a rapidly changing landscape. Distinct from much current literature, it brings together perspectives from multiple countries and linguistic traditions, positioning the volume as an invaluable resource for those working across diverse educational settings worldwide.