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

Documenti analoghi

• Prompt-RAG: Pioneering Vector Embedding-Free Retrieval-Augmented Generation in Niche Domains, Exemplified by Korean Medicine
  di: Kang, Bongsu, et al.
  Pubblicazione: (2024)
• Understanding Clinical Decision-Making in Traditional East Asian Medicine through Dimensionality Reduction: An Empirical Investigation
  di: Bae, Hyojin, et al.
  Pubblicazione: (2024)
• AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversations
  di: Yun, Bhada, et al.
  Pubblicazione: (2026)
• Detecting Effects of AI-Mediated Communication on Language Complexity and Sentiment
  di: Sussman, Kristen, et al.
  Pubblicazione: (2025)
• Collective Constitutional AI: Aligning a Language Model with Public Input
  di: Huang, Saffron, et al.
  Pubblicazione: (2024)