Current Research Projects

This research examines how generative AI extracts value from the digital knowledge commons. Centering on English Wikipedia’s Signs of AI writing catalog and edit logs, the project demonstrates an epistemic inversion: crowdsourced quality guidelines are reverse-engineered into AI “humanizer” tools to bypass detection, exposing the value asymmetry between volunteer labor and commercial AI extraction.

This project examines how generative AI operates as an agent of (dis)inter/mediation within translingual ecologies. Grounded in postqualitative and decolonial frameworks, this work investigates the everyday impacts of AI tools on cognitive agency, embodied memory, and affect across educational classrooms and community storytelling spaces. Rather than evaluating AI solely on text output, this agenda advances critical methods for critique, translingual negotiation, and resistance to counter linguistic homogenization and preserve cultural nuance

This project re-theorizes written voice in AI-mediated writing through a posthuman, ecological framework. It defines voice as a rhetorical construct emerging across human and nonhuman interactions, persisting independently of human cognition. Crucially, it contrasts human rhetorical interruption against algorithmic generative continuity, offering critical method interventions to destabilize machine-generated text.