Where ChatGPT and other LLM-based meaning-making chatbots fall short – and where they succeed
2025 (English)In: Symposia of the 2025 Convention of the UK Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB), The Society for the Study of Artificial Intelligence and Simulation of Behaviour , 2025, p. 5-Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]
A prominent philosopher of cognitive science recently asked on a popular social-media site "why is the success of AI not impeded by the inefficacy of meaning?".
Place, publisher, year, edition, pages
The Society for the Study of Artificial Intelligence and Simulation of Behaviour , 2025. p. 5-
Keywords [en]
breakdowns, Imitation Game, large-language models, meaning making, Artificial intelligence, Human engineering, Information systems, Information use, Philosophical aspects, Breakdown, Chatbots, Cognitive science, Imitation games, Language model, Large-language model, Meaning makings, Social media
National Category
Information Systems, Social aspects Media and Communication Studies Information Systems Philosophy
Research subject
Consciousness and Cognitive Neuroscience
Identifiers
URN: urn:nbn:se:his:diva-25916Scopus ID: 2-s2.0-105017705404OAI: oai:DiVA.org:his-25916DiVA, id: diva2:2006747
Conference
Symposia of the 2025 Convention of the UK Society for the Study of Artificial Intelligence and the Simulation of Behaviour, AISB 2025, Bristol, 14-16 Jan, 2025
Note
© Symposia of the 2025 Convention of the UK Society for the Study of Artificial Intelligence and the Simulation of Behaviour, AISB 2025. All rights reserved
"This paper is a companion piece to a presentation I made at the AISB convention in Swansea in 2023."
2025-10-162025-10-162026-05-21Bibliographically approved