The Linguistic Turn within the Ontology of Artificial Intelligence

Abstract

This research examines the linguistic turn within the ontology of artificial intelligence as a philosophical approach to understanding the nature of language and its role in shaping existence and knowledge within intelligent systems. It seeks to analyze the transformations brought about by advances in artificial intelligence in the understanding and production of language, particularly with the emergence of language models capable of processing texts, generating discourse, and interacting with humans in ways that simulate human communication. The study also explores the relationship between language, thought, and meaning, as well as the possibility of intelligent systems possessing semantic understanding that goes beyond the mechanical processing of symbols to encompass the recognition of intentions and contexts. Furthermore, it addresses the philosophical problems associated with the ontology of artificial intelligence, the distinction between linguistic simulation and genuine understanding, and the role of language in shaping the identity of intelligent systems and their presence in the human world. The research adopts a critical analytical approach to examining the epistemological and ontological dimensions of language in the age of artificial intelligence.