The book AI in Language Teaching, Learning, and Assessment, edited by Fang Pan, provides a comprehensive exploration of the integration of artificial intelligence (AI) in language education. This review critically examines the book's discussion of generative AI tools, adaptive assessment systems, and personalised learning materials, highlighting its balanced approach to the opportunities and challenges AI presents. The text delves into key areas such as enhancing student engagement, supporting differentiated instruction, and addressing ethical considerations like equity and bias. While the book is a significant contribution to the field, offering practical insights for educators and researchers, it could further address the impact of socioeconomic disparities on AI adoption in under-resourced contexts. Ultimately, the work serves as a timely and indispensable resource for advancing the use of AI in applied linguistics, fostering both innovation and critical reflection in language education.

peer-reviewed