Artificial Intelligence and English Studies: Literature, Language, and Machine Creativity

Affiliation

Abstract

Artificial intelligence is transforming the production, interpretation, teaching, and circulation of language, creating significant consequences for English Studies. Generative artificial intelligence and large language models can now produce literary narratives, poetry, critical interpretations, translations, stylistic imitations, summaries, classroom materials, and linguistic feedback with remarkable fluency. These developments challenge conventional understandings of authorship, originality, creativity, textual interpretation, and language learning. At the same time, they provide English Studies with new opportunities for critical inquiry. This chapter examines the relationship between artificial intelligence and the interconnected domains of literature, language, creative writing, literary criticism, and English-language education. It argues that AI should not be understood merely as an automated writing technology but as a new textual environment requiring critical literacy. Research indicates that generative AI can support literary engagement, language development, brainstorming, revision, and creative experimentation, while also presenting risks involving bias, linguistic homogenization, fabricated information, dependency, academic integrity, and the erosion of individual voice. Machine creativity further complicates distinctions between human and computational authorship without eliminating the importance of human experience, intention, judgment, and responsibility. The chapter proposes a human-centred model of AI integration in English Studies in which computational capabilities supplement rather than replace interpretation and creative agency. In this model, close reading, contextual knowledge, rhetorical awareness, linguistic sensitivity, ethical judgment, and critical comparison become increasingly important. English Studies is therefore not made obsolete by artificial intelligence; rather, its traditional concern with language, meaning, culture, and representation makes the discipline particularly important for understanding and shaping emerging forms of human–machine communication.

Keywords

Artificial Intelligence, English Studies, Generative AI, Literature, Language, Machine Creativity, Literary Criticism, Authorship, English Language Teaching, Digital Humanities