Call for papers - Special Issue Artificial intelligence and biological-human intelligence: convergences, divergences and consequences

Call for papers

We have been watching in recent decades exponential progress of artifacts that form a unique type of information processing technology, the so-called artificial intelligence (AI). This technology imitates human neurobiological intelligence (HNI) in crucial aspects, manifesting what appear to be results similar to those of human thought. The functional state of the art of these AI technologies, based on mere processing and probabilistic selections, is often confused in society with NHI and the respective mental states that manifest it: intentionality, consciousness, sentience, and sof orth. This leads to a sort of myth about the intellectual indiscernibility of the two types of processes: although they have structurally different physical and procedural origins, the functionality of AI is, at least in terms of qualitative results, although not necessarily in what concerns quantitative ones, identical and even allegedly superior to the functionality of INH. Bearing this conceptual framework in mind, we invite anyone interested in the aforementioned topic and adjacent ones to submit their work/articles for publication in the special issue Artificial intelligence and biological-human intelligence: convergences, divergences and consequences, to be published in July 2026 by Argumentos, Journal pf Philosophy (Qualis CAPES - A2) of the Graduate Program in Philosophy at the Federal University of Ceará. Submissions must follow the journal's Guide for Authors, and mention the folder at hand. The authors will receive a Notification of acceptance or rejection by March 27, 2026. and be made until January 5, 2026. Authors will be notified of acceptance or rejection by March 27, 2026.

Suggested, though not exclusive, topics:
1. INH and AI: structures, functionalities, results and consequences.
2. AI, belief and action compared to INH
3. Information, mental states and human intelligence.
4. Human neural networks and artificial neural networks (black boxes).
5. Artificial intelligence and consciousness (self, phenomenal or both).
6. Human knowledge and machine information: similarities and dissimilarities.
7. Analog intelligence and digital intelligence in the future: what to expect?
8. Objectives, intentions and autonomies of different types of intelligence.
9. AI and HNI: priorities and functional and practical complementarities.
10. HNI and AI as sources of pedagogy for humans and non-natural artifacts.