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Author

Ali Khodi

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Aug 2026

Interpretable but Not Necessarily Meaningful: Language, Voice, and Clinical Inference in AI-Based Mental Health Prediction-A Commentary on Wang and Sambamoorthi (2026).

An interpretable and fairness-aware Random Forest model that predicts mental health disorders using acoustic features derived from the Bridge2AI-Voice dataset is developed, and the demonstration of strong gender fairness represents a commendable step toward responsible artificial intelligence in voice science.

Ali Khodi · 0 citations
Open access Aug 2026

Pedagogical prompting rather than technical mastery: Generative AI use by English and English-medium instruction teachers

The Pedagogical Prompting Feedback Cycle is offered as a teacher-oriented way of translating existing instructional expertise into AI-supported practice and presented as a tentative conceptual model rather than a validated framework: it is meant to provoke inquiry and design, and it requires empirical validation across...

Ali Khodi, Samantha M. Curle, Víctor Parra-Guinaldo · 1 citation

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