most citedThe Epistemological Consequences of Large Language Models: Rethinking collective intelligence and institutional knowledge

6 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems

Angjelin Hila

LLMs have revolutionized knowledge representation and retrieval, but lack the explicit modeling that knowledge ontologies possess. This paper surveys the ways that ontologies and k…

cs.HC2026

The Human-AI Delegation-Verification Dilemma: Individual Strategies, Collective Equilibria and Sociotechnical Lock-in

Angjelin Hila

This paper takes an ecological approach toward large-scale models of hybrid human-AI intelligence. Emerging models of human-AI interaction predominantly advance the complementarity…

cs.HC20266 cited

The Epistemological Consequences of Large Language Models: Rethinking collective intelligence and institutional knowledge

Angjelin Hila

We examine epistemological threats posed by human and LLM interaction. We develop collective epistemology as a theory of epistemic warrant distributed across human collectives, usi…

cs.HC2025

An Enactivist Approach to Human-Computer Interaction: Bridging the Gap Between Human Agency and Affordances

Angjelin Hila

Emerging paradigms in XR, AI, and BCI contexts necessitate novel theoretical frameworks for understanding human autonomy and agency in HCI. Drawing from enactivist theories of cogn…

cs.HC2025

Assessing the Reliability of Large Language Models for Deductive Qualitative Coding: A Comparative Study of ChatGPT Interventions

Angjelin Hila, Elliott Hauser

In this study, we investigate the use of large language models (LLMs), specifically ChatGPT, for structured deductive qualitative coding. While most current research emphasizes ind…