2026 ALISE Annual Conference

This mixed-methods study investigates how AI integration in academic writing leads to linguistic homogenization and the loss of personal voice. Through writing tasks, think-aloud protocols, and interviews with native and non-native English speakers, the research explores the real-time negotiations between human intent and algorithmic suggestions. Preliminary findings highlight a struggle to balance grammatical correctness with unique expression. By focusing on people’s experiences in human-AI interactions, this study examines whether AI is an active partner in shaping meaning or losing it. The insights gained will help develop inclusive digital teaching methods that enable diverse learners to benefit from AI without losing their personal epistemic identities.