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All Journal Journal International of Lingua and Technology Journal of Humanities Research Sustainability
Wirdatul Khasanah
Universitas Negeri Surabaya
Humanities Education Languange, Linguistic, Communication & Media

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The Post-Human Author: Deconstructing Narrative Identity And Creativity In Ai-Generated Literary Works Wirdatul Khasanah; Li Wei; Rustiyana Rustiyana
Journal of Humanities Research Sustainability Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v2i6.2652

Abstract

Background. The emergence of artificial intelligence as a creative agent has fundamentally disrupted the human-centered paradigm of authorship in literary production. Recent advances in generative models such as GPT and other neural language systems have blurred the boundaries between human intention, machine output, and narrative authenticity. Purpose. This study aims to deconstruct the notion of the “post-human author” by examining how AI-generated literary works redefine narrative identity, creativity, and the ontology of authorship. Employing a qualitative meta-analytical method combined with post-structuralist textual analysis, the research synthesizes existing literature and conducts interpretive readings of selected AI-generated texts. Through Derridean deconstruction and Foucault’s concept of the “author-function,” this study explores how algorithmic creativity challenges the metaphysics of originality and intentionality. Method. Employing a qualitative meta-analytical method combined with post-structuralist textual analysis, the research synthesizes existing literature and conducts interpretive readings of selected AI-generated texts. Through Derridean deconstruction and Foucault’s concept of the “author-function,” this study explores how algorithmic creativity challenges the metaphysics of originality and intentionality. Results. The findings reveal that AI-generated literature destabilizes the humanist framework of creative agency , producing hybrid narratives where authorship becomes distributed, contingent, and collaborative between human and machine. However, this post-human creativity also exposes ethical and philosophical tensions related to authorship, ownership, and meaning-making. Conclusion. The study concludes that literary creation in the age of AI demands a reconfiguration of aesthetic and epistemic assumptions about what it means to “create,” inviting a new hermeneutics of reading that acknowledges the co-agency of the artificial and the human.
THE VALIDITY OF AUTOMATED ESSAY SCORING USING NLP COMPARED TO HUMAN RATERS IN THE CONTEXT OF LANGUAGE CERTIFICATION EXAMS Wirdatul Khasanah; Hale Yilmaz; Benjamin White
Journal International of Lingua and Technology Vol. 4 No. 3 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v4i3.1129

Abstract

The integration of Automated Essay Scoring (AES) using Natural Language Processing (NLP) in educational settings has raised questions about its validity, particularly in high-stakes language certification exams. While AES offers the advantage of scalability and efficiency, its ability to replicate human judgment, especially in complex aspects of writing such as creativity and argumentation, remains a subject of debate. This study aims to compare the validity of AES systems to human raters in assessing essays within the context of language certification exams. The primary objective is to evaluate the accuracy, reliability, and alignment between machine-generated scores and those provided by human raters across various writing criteria. A mixed-methods approach was employed, combining quantitative analysis of essay scores and qualitative insights from expert raters. The results indicate a high correlation between AES and human scores for grammar, coherence, and relevance (r = 0.88–0.91), but moderate discrepancies were observed in assessing creativity and argumentation (r = 0.72). The findings suggest that while AES is effective for assessing technical writing aspects, human raters remain essential for evaluating subjective elements. The study concludes that a hybrid approach combining AES with human evaluation may offer a more balanced, reliable, and comprehensive scoring system for language certification exams.
Co-Authors Benjamin White Hale Yilmaz Li Wei Rustiyana, Rustiyana