H έννοια του Συνάλματος στην εποχή της ΤΝ, θεωρητικό υπόβαθρο και επίκαιρα ζητήματα

Abstract

The concept of consilience constitutes the central idea of the unity of knowledge, as it promotes the integration of understanding and reasoning across all scientific fields, both Humanities and Natural Sciences. In an era marked by complex global challenges and problems—such as climate change, public health epidemics, and the imperative for rational resource management—the need to transcend traditionally fragmented knowledge becomes increasingly urgent. Interdisciplinary and cross-sectoral scientific approaches are thus essential. The paper attempts to draw a schematic mapping of the role of the Humanities, in conjunction with the evolution of Artificial Intelligence (AI) through contemporary Large Language Models (LLMs), as tools that can facilitate this convergence. The aim is also to highlight how the reframing of the concept of consilience, through the integration of Generative AI, can enhance educational practices in Higher Education, particularly within the Humanities and support inclusive and personalized education, thereby contributing to learning sustainability. At the same time, the paper addresses ethical concerns and dilemmas accompanying the adoption of Generative AI, as well as critical considerations for preserving the human dimension at the core of the organization of theoretical studies.