HUMAN LEARNING IN THE AGE OF MACHINE LEARNING: Borders between the hermeneutics of a cultural being and the processing of human language by Artificial Intelligence.
Human Language Processing; Artificial intelligence; Philosophy of Language; Learning.
This research aims to instigate reflections on the consequences of the massive processing of human language by the machine learning mechanism, unveiling the impacts of this reality on the very formative experience of culture and the being of culture (human learning). With a theoretical framework based on philosophical anthropology and hermeneutics, we will point out the limits of the analytical dimension of language, indicating the frontier of the intention to replicate human cognition through computational semiotics, exploring the ethical and intersubjective content inherent to the praxis of a substantial human learning, metaphysically reserved for the being of culture. People produce themselves in language, at the same time that they dialectically produce their own language, so that, to the axiological content of hermeneutics, of representation of the truth value, as inferred by free and equal beings, the anthropological content is linked, through the which human person claims to be free, who defines himself in culture at the same time as he defines culture itself. While machine learning will always be reducible to its connectionist heuristics, capable of promoting predictions based on structural conjugations of patterns identified in big data, the complexity of human learning is so far removed, whose formation is linked to speculative historical dialectics, a inherent to the condition of being endowed with moral intentionality.