Artificial intelligence (AI) is transforming language access services in healthcare, making interpretation and translation faster and more scalable than ever before. Given that there are approximately 281 million international migrants as of 2024 [1], leveraging AI technology for mitigating language barriers in healthcare presents both new opportunities and new challenges. International migrants and others may experience language discordance – when patients and health care providers do not share a common language – which can hamper communication [2], decision making [3], and lead to poor health outcomes for patients [4]. Despite ongoing advancements in AI technology, its potential to improve or deter person-centred clinical care depends on its responsible application. In this article, our multilingual, international, and multidisciplinary members of the Language and Cultural Discordance in Healthcare Communication Special Interest Group of the International Association for Communication in Healthcare (EACH) [5] discuss challenges and opportunities in leveraging AI technology, provide practical applications, and end with recommendations to promote language access in healthcare. We highlight four of Picker’s Eight Principles of Person-Centered Care [6,7] and use them as a framework to address various issues in using AI for language translation and interpretation in healthcare.