. // Multilingual gender fairness in AI-generated texts

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Despite major advances in GenAI, stereotyping and biases are ubiquitous in texts generated by AI technologies, which runs counter to a European society committed to gender equality. The doctoral contract will:
1) investigate texts generated by leading LLMs (e.g. OpenAI's ChatGPT, Google's Gemini, Mistral's Le Chat) in terms of gender fairness with a focus on languages other than EN (e.g. DA, FR, DE);
2) explore the impact of linguistic factors (i.e. linguistic bias), specifically the effects of grammatically un/gendered languages and the masculine default, on gendered representations using corpus linguistic methods;
3) reveal how AI tools echo and reinforce human bias as well as raise Critical Multilingual Language Awareness among users and developers of how LLMs index gender-related structures of power;
4) contribute to enhancing the dialogue between linguists and computer scientists to confront sexism in GenAI technologies with the Associated Partners.
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Début de la thèse : 01/11/2026
WEB : https://www.multilawa.eu

Programmes de l'Union Européenne de financement de la recherche (ERC, ERASMUS)

Université de Lorraine

78 SLTC - SOCIETES, LANGAGES, TEMPS, CONNAISSANCES

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The Doctoral Candidate is expected to – have the potential to conduct research of excellent quality , as demonstrated by initial academic work such as the master's thesis, and – if applicable – presentations at conferences, awareness-raising activities or publications. – be interested in working in a multilingual, interdisciplinary and international research environment. – have excellent communication skills in German and English (at least B2). – be willing to undertake international research secondments and travels. See details: https://www.multilawa.eu/recruitment-for-applying/general-information/