Angjelin Hila

Angjelin Hila

PhD Student

My research interests are situated at the intersection of human-AI interaction, sociotechnical systems, and computational social science. The impetus for my research centers on the reconfigurations of human agency within emerging sociotechnical environments and emerging forms of hybrid agency, particularly human-AI hybrid intelligence. Currently, I'm pursuing two lines of research. The first concerns measuring the effects of human-LLM interaction on variables such as social action, personal agency, and epistemological practices through both theoretical and empirical means. The second concerns pursuing avenues for human-AI collaboration broadly, and specifically in inductive methods within large-scale textual and discursive data. I employ both quantitative and qualitative methods spanning statistical analyses, NLP, classification and regression, AI-based modeling, and grounded theory.  I also maintain an abiding interest in social ontology, intentionality, and enactivist theories of cognition, which inform my theoretical lenses.

Master of Information, University of Toronto
Bachelor of Arts in Philosophy, University of Toronto

Human-AI Interaction
Socio-technical systems
Computational Social Science

Hila, A. & Hauser, E. (2025). Assessing the reliability of large language models for deductive qualitative coding: A comparative study of ChatGPT interventions. In ASIS&T 2025 Annual Meeting. DOI: https://arxiv.org/abs/2507.14384
Hila, A. (2025). The epistemological consequences of large language models: Rethinking collective intelligence and institutional knowledge. AI & Society. DOI: https://link.springer.com/article/10.1007/s00146-025-02426-3

Contact Information