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Bongsu Kang

2 papers in the library · publishing 2025-2026

Papers

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AI models as consciousness attributors: how LLMs ascribe consciousness to other agents

Frontiers in Psychology September 3, 2026 Bongsu Kang, Chang-Eop Kim

Research on AI consciousness has largely focused on whether AI systems are conscious and how humans attribute consciousness to them. Yet large language models (LLMs) increasingly function as consciousness attributors, generating judgments about whether and to what degree other entities are conscious. We introduce model-generated consciousness attribution as an object of empirical...

Identifying Features that Shape Perceived Consciousness in Large Language Model-based AI: A Quantitative Study of Human Responses

arXiv Preprint Archive February 21, 2025 Bongsu Kang, Jundong Kim, Tae-Rim Yun et al.

This study quantitively examines which features of AI-generated text lead humans to perceive subjective consciousness in large language model (LLM)-based AI systems. Drawing on 99 passages from conversations with Claude 3 Opus and focusing on eight features -- metacognitive self-reflection, logical reasoning, empathy, emotionality, knowledge, fluency, unexpectedness, and subjective...