The objective of this paper is to present the research carried out as part of the HCAI4GEND project, which focuses on the development of a linguistic model aimed at creating an artificial intelligence-based tool to detect, interpret and generate linguistic solutions related to sensitive language in institutional texts in Italian, English and German. The designed tool ensures effective user engagement through a feature-rich text editor, real-time highlighting and interactive suggestion features. The continuous learning mechanism built into the artificial intelligence back-end enables the system to adapt to evolving language norms and user preferences, ensuring long-term effectiveness and cultural relevance. To achieve these goals, the use of high-quality language resources is critical. These resources are developed following hybrid approaches that integrate contrastive typological studies with varietistic analyses, ensuring a nuanced understanding of grammatical and social usage of gender.

Enhancing University Communication: An Artificial Intelligence-Based tool for Gender-Inclusive Language

D. Vellutino;M. Ingenito;G. Vitiello
2026

Abstract

The objective of this paper is to present the research carried out as part of the HCAI4GEND project, which focuses on the development of a linguistic model aimed at creating an artificial intelligence-based tool to detect, interpret and generate linguistic solutions related to sensitive language in institutional texts in Italian, English and German. The designed tool ensures effective user engagement through a feature-rich text editor, real-time highlighting and interactive suggestion features. The continuous learning mechanism built into the artificial intelligence back-end enables the system to adapt to evolving language norms and user preferences, ensuring long-term effectiveness and cultural relevance. To achieve these goals, the use of high-quality language resources is critical. These resources are developed following hybrid approaches that integrate contrastive typological studies with varietistic analyses, ensuring a nuanced understanding of grammatical and social usage of gender.
2026
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4912067
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