神経科学から見た人工意識の実現可能性
The feasibility of artificial consciousness through the lens of neuroscience
大規模言語モデルが意識を持つ可能性を、身体性・視床皮質系の構造・進化的発達の観点から神経科学的に検討し、現状では困難だと論じた論文。
著者: Jaan Aru, Matthew Larkum, James M. Shine
分類: q-bio.NC, cs.AI, cs.LG, cs.RO
原文アブストラクト
Interactions with large language models have led to the suggestion that these models may soon be conscious. From the perspective of neuroscience, this position is difficult to defend. For one, the inputs to large language models lack the embodied, embedded information content characteristic of our sensory contact with the world around us. Secondly, the architecture of large language models is missing key features of the thalamocortical system that have been linked to conscious awareness in mammals. Finally, the evolutionary and developmental trajectories that led to the emergence of living conscious organisms arguably have no parallels in artificial systems as envisioned today. The existence of living organisms depends on their actions, and their survival is intricately linked to multi-level cellular, inter-cellular, and organismal processes culminating in agency and consciousness.