Stench of Errors or the Shine of Potential: The Challenge of (Ir)Responsible Use of ChatGPT in Speech‐Language Pathology

Abstract

What is already known on this subject Large language models (LLMs), including ChatGPT, are increasingly used in speech-language pathology (SLP) for tasks such as diagnostic support, therapy material generation and documentation. While prior research acknowledges both their utility and risks, limited attention has been paid to how student SLPs engage with these tools and how educational institutions prepare them for responsible use. What this paper adds to existing knowledge This paper identifies key challenges in how student SLPs interact with ChatGPT, including overreliance, lack of critical evaluation and ethical blind spots. It emphasizes the role of higher education in developing critical AI literacy aligned with clinical and ethical standards. The study offers specific, practice-oriented recommendations for embedding responsibility-focused engagement with LLMs into SLP curricula. These include ethics integration, reflective assignments, peer feedback and interdisciplinary dialogue. What are the potential or actual clinical implications of this work? Without structured guidance, future SLPs may misuse LLMs in ways that compromise diagnostic accuracy, cultural appropriateness or therapeutic quality. Embedding reflective, ethics-focused training into SLP curricula can reduce these risks and ensure that generative tools like ChatGPT support rather than undermine clinical decision-making and patient care.

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