Artificial Conscious Intelligence
James A. Reggia, Garrett E. Katz, Gregory P. Davis
Journal of Artificial Intelligence and Consciousness March 1, 2020 DOI: 10.1142/s270507852050006x (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Argues that artificial consciousness research and mainstream AI have developed in isolation despite being synergistic, and proposes that short-term working memory and very rapid learning are central to the function of consciousness. The authors contend that integrating AC concepts into AI systems to develop an "artificial conscious intelligence" could both improve AI technology and advance scientific understanding of consciousness and intelligence. |
Abstract
The field of artificial consciousness (AC) has largely developed outside of mainstream artificial intelligence (AI), with separate goals and criteria for success and with only a minimal exchange of ideas. This is unfortunate as the two fields appear to be synergistic. For example, here we consider the question of how concepts developed in AC research might contribute to more effective future AI systems. We first briefly discuss several past hypotheses about the function(s) of human consciousness, and present our own hypothesis that short-term working memory and very rapid learning should be a central concern in such matters. In this context, we then present ideas about how integrating concepts from AC into AI systems to develop an artificial conscious intelligence (ACI) could both produce more effective AI technology and contribute to a deeper scientific understanding of the fundamental nature of consciousness and intelligence.
Citations in the library
Cited by 4
- Consciousness in AI Systems: A Review International Journal of Artificial Intelligence & Applications March 28, 2025
- No-Go Theorems on Machine Consciousness Journal of Artificial Intelligence and Consciousness October 31, 2023
- A Design of Global Workspace Model with Attention: Simulations of Attentional Blink and Lag-1 Sparing Journal of Artificial Intelligence and Consciousness October 13, 2021
- The effects of implementing phenomenology in a deep neural network. Heliyon June 8, 2021
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