Long form

ARTIFICIAL INTELLIGENCE AND THE HUMAN CONDITION

Abstract This article reflects on the transformation of personhood in the digital age, drawing on an invariant anthropological schema — the hermeneutical cross — which articulates an existential axis (natural person / transcendence) and a hermeneutical axis (corpus / interpretive keys). Three historical regimes succeed and stratify one another: the manuscript regime, centred on aLire la suite « ARTIFICIAL INTELLIGENCE AND THE HUMAN CONDITION »

Humanism and artificial intelligence

If humanism was born with the alphabet in a literate environment and was reborn with the printing press, what becomes of it when digital technology becomes the dominant symbolic technology?

A meditation on consciousness

By Pierre Lévy, Fellow of the Royal Society of Canada Abstract This article explores the nature of human consciousness through a comprehensive philosophical analysis, distinguishing between phenomenal consciousness, shared with animals, and discursive consciousness, unique to humans. Drawing on the philosophical tradition from Antiquity (Aristotle, Plotinus) to modern philosophy (Descartes, Husserl), the author examines theLire la suite « A meditation on consciousness »

Symbolic Manipulation: an Anthropological Perspective

The aim of this article is to elucidate the anthropological conditions of possibility for computing. I will first show how symbolic manipulation is constitutive of hominization. Secondly, I will examine the gradual widening of the gearing between the sensorial world (signifiers) and the intelligible world (concepts) during cultural evolution. Following on from these analyses, I’ll comment some of the main features of contemporary digital civilization, including the development of generative artificial intelligence.

Semantic Computing with IEML

IEML has the expressive power of a natural language, and it is also an algebra. Its semantics are computable!

IEML: Towards a Paradigm Shift in Artificial Intelligence

IEML has the expressive power of a natural language and the syntax of a regular language. Its semantics are unambiguous and computable because they are an explicit function of its syntax. A neuro-semantic architecture based on IEML combines the strengths of neural AI and classical symbolic AI while enabling integration of knowledge through an interoperable computing of semantics.