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Transforming Speech-Language Pathology with AI: Opportunities, Challenges, and Ethical Guidelines.

Georgios P Georgiou^1,2

¹Department of Languages and Literature, University of Nicosia, Nicosia 2417, Cyprus.

Healthcare (Basel, Switzerland)

|October 16, 2025

Summary

Artificial intelligence (AI) enhances speech-language disorder diagnosis and treatment. Responsible AI implementation requires addressing data bias and ethical concerns for improved communication sciences.

Keywords:

artificial intelligence clinical applications ethical guidelines health equity speech-language pathology

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Area of Science:

Speech-Language Pathology
Artificial Intelligence
Communication Sciences

Background:

Artificial intelligence (AI) is increasingly impacting the diagnosis, treatment, and management of speech-language disorders.
Advances in speech recognition, natural language processing, and automated assessments are key drivers of this transformation.

Purpose of the Study:

To outline the core applications of AI in speech-language pathology.
To explore emerging opportunities and significant challenges in applying AI to this field.
To propose ethical principles for the responsible use of AI in communication sciences.

Main Methods:

Literature review of AI applications in speech-language pathology.
Analysis of current technological advancements and their clinical integration.
Development of ethical considerations for AI deployment.

Main Results:

AI tools offer potential for enhanced clinical decision-making, improved diagnostic accuracy, and increased access to services.
Challenges include data bias, lack of transparency, and difficulties in clinical workflow integration.
Technical development must be paired with robust ethical safeguards.

Conclusions:

AI holds significant promise for advancing speech-language pathology.
Addressing ethical challenges and ensuring responsible implementation are crucial for realizing AI's full potential.
Further research and development are needed to integrate AI effectively and ethically into clinical practice.