AI GENERATED LANGUAGE: A CONTRIBUTOR TO HUMAN EXISTENCE

Abstract

One tool for narrative initiation, understanding, interpretation, analysis, and (re)shaping is language, a phenomenon always considered as exclusively human and a phenomenon that gives its human users a superiority over other beings. However, human linguistic superiority seems to be threatened in the hyper- real twenty- first century. The threat is posed by the open AI systems
which while collaborating with their human users display the capability to autonomously generate free and unconstrained yet coherent and meaningful language. Being contributors to the collaborative (re)shaping of nonlinear narratives in the digital medium, AI generated language needs to be qualified as presenting coherent and meaningful texts that logically connect to the human inputs and steer forward the narratives while maintaining their thematic unity. This study employs linguistic model proposed by Halliday and Hassan (1976) to study AI generated language as coherent and meaningful texts with an aim to strengthen the observation that AI
generated language texts possess the attributes that are associated with human produced text and have the potential at conveying subtle meanings and suggesting underlying themes through wise use of cohesive devices and pertinent use of lexical choices. The dissertation also highlights the need to devise new theoretical perspectives and analytical tools to address the emerging
phenomenon of a nonhuman AI agency capable of collaborating freely, meaningfully, and effectively with the human race.