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Journal of Artificial Intelligence and Consciousness is a peer-reviewed journal published by World Scientific, covering Embodied and Extended Cognition, Neural dynamics and brain function, Computability, Logic, AI Algorithms.
| Publisher | World Scientific |
|---|---|
| Reference style | Superscript numbered (World Scientific) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Journal of Artificial Intelligence and Consciousness 12, 45–58 (2023).
Formats any DOI in the closest standard style — Journal of Artificial Intelligence and Consciousness has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Embodied and Extended Cognition Neural dynamics and brain function Computability, Logic, AI Algorithms Neuroethics, Human Enhancement, Biomedical Innovations Ethics and Social Impacts of AI |
| ISSN | 2705-0785 |
| Citation impact (2-yr) | 0.44 |
| h-index | 12 |
| i10-index | 16 |
| Total citations | 739 |
| Top institutions publishing here | Oklahoma State University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This paper has a critical and a constructive part. The first part formulates a political demand, based on ethical considerations: Until 2050, there should be a global moratorium on synthetic phenomenology, strictly banning all research that directly aims at or knowingly risks the emergence of artificial consciousness on post-biotic carrier systems. The second part lays…
In the last 10 years, Artificial Intelligence (AI) has seen successes in fields such as natural language processing, computer vision, speech recognition, robotics and autonomous systems. However, these advances are still considered as Narrow AI, i.e. AI built for very specific or constrained applications. These applications have its usefulness in improving the quality of human…
Explainability and comprehensibility of AI are important requirements for intelligent systems deployed in real-world domains. Users want and frequently need to understand how decisions impacting them are made. Similarly, it is important to understand how an intelligent system functions for safety and security reasons. In this paper, we describe two complementary impossibility results (Unexplainability and…
The young field of AI Safety is still in the process of identifying its challenges and limitations. In this paper, we formally describe one such impossibility result, namely Unpredictability of AI. We prove that it is impossible to precisely and consistently predict what specific actions a smarter-than-human intelligent system will take to achieve its objectives,…
This paper considers several aspects of the relationship between size, structure, speed of propagation and the number of autonomous cognitive agents in a neural network. While memory and function generation capacities of neural networks with scale-invariant structure have been investigated extensively, the number of autonomous agents, associated with the simultaneous processing of the independent components…
