Theme 1: Linguistic Studies in the Age of AI
The role of natural language processing technologies in advancing linguistic studies.
Comparisons between human-produced discourse and machine-generated discourse.
AI applications in text analysis, machine translation, and Arabization.
The impact of AI on linguistic diversity and the preservation of endangered languages.
Issues of linguistic bias in AI models.
Theme 2: Literary Studies and Artificial Intelligence
Algorithmic production of literary texts and the limits of artificial creativity.
AI tools for analysing narrative structure and stylistic features.
Anticipating the relationship between literature and technology in future visions.
Intercultural comparative approaches linking literary texts using digital tools.
The influence of AI on reading taste and literary criticism.
Theme 3: Interdisciplinary and Cross-Disciplinary Approaches
Integration of humanities scholarship with quantitative text analysis.
Questions of consciousness, creativity, and meaning.
The role of AI in teaching language and literature and in Curriculum Development.
AI as a bridge between cultures and languages in literary studies.
Employing AI in archiving and analyzing linguistic and literary heritage.
Theme 4: Applications and Future Visions
Preservation and analysis of manuscripts and ancient texts.
Reshaping media and literary discourse through AI tools.
Collaborative models for producing linguistic and literary knowledge.
Redefining the role of the researcher in light of AI tools.
