@inproceedings{98815830700c4722a6dfd365d893dac4,
title = "Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition",
abstract = "Recent advances in LLMs have sparked a debate on whether they understand text. In this position paper, we argue that opponents in this debate hold different definitions for understanding, and particularly differ in their view on the role of consciousness. To substantiate this claim, we propose a thought experiment involving an open-source chatbot Z which excels on every possible benchmark, seemingly without subjective experience. We ask whether Z is capable of understanding, and show that different schools of thought within seminal AI research seem to answer this question differently, uncovering their terminological disagreement. Moving forward, we propose two distinct working definitions for understanding which explicitly acknowledge the question of consciousness, and draw connections with a rich literature in philosophy, psychology and neuroscience.",
author = "Ariel Goldstein and Gabriel Stanovsky",
note = "Publisher Copyright: {\textcopyright} 2024 Association for Computational Linguistics.; Findings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 ; Conference date: 11-08-2024 Through 16-08-2024",
year = "2024",
doi = "10.18653/v1/2024.findings-acl.425",
language = "الإنجليزيّة",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "7137--7143",
editor = "Lun-Wei Ku and Andre Martins and Vivek Srikumar",
booktitle = "The 62nd Annual Meeting of the Association for Computational Linguistics",
address = "الولايات المتّحدة",
}