Corpus Linguistic Analysis of AI Representation in Speculative Narratives: A Comparative Study of Autonomy, Ethics, and Human- Machine Interaction in Neuromancer by William Gibson and I, Robot by Isaac Asimov

Abstract

Benchmarking rhetorical simulacrum of AI in speculative cyberpunk and hypothetical classic science fiction. The corpus linguistic study will concentrate on autonomy, ethics, and human-machine interaction. Autonomy specifies AI's flexibility and objectivity in terms of resistance and decision making in scientific literature. The responsibility and moral dilemmas as the essence of freedom of artificial intelligence and its interrogations in hypothetical storylines will be prioritized. AI's impartiality raises questions about rights and wrongs, which ethics will address. Human-machine interaction will examine the relationship between people and machines as trust and mistrust and dependency and co-functioning. The research will show their relationship. The basis of the analysis will be laid over and done with Erving Goffman's Framing Theory (1974). Language and social practices will assist Goffman in examining autonomy, ethics, and human-machine interaction in William Gibson's Neuromancer (1984) and Isaac Asimov's I, Robot (1950). Language shapes social viewpoints, and it is employed contextually and with implications in mind. The mixed-method research will use framing theory to obtain qualitative data. The results spawned will be subjective. Corpus linguistic analysis will compute empirical findings. AI will develop a corpus and produce AntConc corpus linguistic analysis (Anthony, 2023). AntConc helps with linguistic corpora textual analysis.