Artificial Intelligence and Communication Sciences and Disorders: A Bidirectional Frontier

This paper explores the bidirectional interplay between artificial intelligence (AI) and communication sciences and disorders (CSDs). It begins by defining essential terminology and foundational concepts, followed by a discussion of key ethical considerations in the development and deployment of AI technologies. Current AI research in CSD is then reviewed, with particular attention to multimodal approaches that integrate linguistic and nonverbal behavioral cues, such as motion. The paper further illustrates how insights from CSD - and the clinical expertise of speech-language pathologists - can inform the design of AI systems, making them more inclusive, interpretable, and responsive to the diversity of communication disorders. Extending this discussion, we introduce the concept of a CSD digital twin: a computational framework capable of analyzing and simulating communication processes in real time to support precision diagnostics, personalized intervention, scientific discovery, and public health planning. Finally, we highlight the importance of cultivating AI literacy - particularly statistical thinking - as a core professional competency for both researchers and clinicians in the AI era. Ultimately, this work envisions a shared framework for advancing research and clinical practice, fostering a data-driven foundation for innovation, discovery, and evidence-based progress in the field of CSDs.