Artificial Intelligence and the Future of Creative Writing in English Studies: A Critical Analysis of Creativity, Authorship, and Emerging Challenges
Keywords:
Artificial Intelligence, Creative Writing, English Studies, Authorship, Creativity, Human AI Collaboration, Generative AI, Literary Studies, Ethical Challenges, Digital WritingAbstract
The recent breakthroughs in artificial intelligence (AI), especially language models, have led to substantial changes in creative writing in English studies. Historically, creative writing has been defined as an exclusively human endeavor, closely tied to imagination, experience, emotion and language. Yet, the advent of computer systems using AI to automate writing has put this thinking into question, with machines now capable of producing consistent narratives, poems, and texts that are stylistically suitable. This paper critically examines the impacts of AI on creative writing, particularly creativity, authorship, originality and related ethical and pedagogical issues. Existing research shows that the integration of AI in writing enhances fluency, coherence and writing productivity, especially in educational settings. But it also shows major drawbacks, such as a loss of creativity, loss of diversity and undue dependency on computer suggestions, potentially undermining human creativity. Moreover, the research shows a crisis of authorship, given the strong similarity between AI-generated texts and human written texts, making it harder to identify human authorship. The study also shows that the emergence of the AI era has led to a hybrid form of creativity, which combines both human and computational thinking. This complicates traditional literary theories that consider creativity as distinctively human. Consequently, English studies needs to re-analyze and re-evaluate the basic concepts of authorship, originality and literary identity in human-AI partnership. Further, the study identifies key ethical issues such as plagiarism, authorship and authenticity of AI generated works. The study also highlights research limitations, including a need for longitudinal studies examining the long-term effects of AI on creativity, research into literary genres such as fiction and poetry, studies on qualitative aspects of creativity and cultural diversity.