Conference Theme

Writing at the Human–Machine Interface: Moving from Detection to Understanding

As AI writing tools become increasingly sophisticated and ubiquitous, the central challenge facing writing researchers and educators is no longer simply how to detect AI-generated text. Instead, the field must grapple with how AI is reshaping human writing itself—including writers’ linguistic choices, expressions of knowledge and stance, and writing development across genres, disciplines, and languages.

This conference foregrounds a shift:

• from surveillance and authenticity toward understanding writing processes
  
• from English-only perspectives toward multilingual and L1 writing contexts
  
• from abstract debate toward pedagogically productive responses to AI-mediated writing
  

While much existing research has focused on English academic writing, EATAW/Writing Analytics 2026 explicitly welcomes work addressing smaller language communities, multilingual writers, and disciplinary writing practices affected by AI systems predominantly trained on English-language data.

Conference Subthemes

Proposals may address, but are not limited to, the following themes:

• Writing analytics beyond AI detection
  
• Corpus-linguistic approaches to human and AI-mediated writing
  
• AI and writing development across time, genres, and disciplines
  
• Writing analytics for pedagogy and curriculum design
  
• Multilingual, L1, and translingual writing analytics
  
• Writing analytics in workplace and professional settings
  
• Ethical, epistemological, and methodological challenges in AI-based writing research
  
• Writing analytics tools and dashboards for teaching and learning
  
• Assessment, feedback, and formative uses of writing analytics
  

Student and teacher perspectives on AI-mediated writing practices