Towards Human-Machine Collaboration: The New Paradigm of World Literature Evaluation in the Era of Digital Intelligence
Abstract
In the context of profound globalization and digital revolution, this research aims to explore the fundamental challenges that artificial intelligence technology brings to the evaluation criteria of world literature and the theoretical reconstruction path. The technological logic of AI tends to dissolve the “literariness” derived from Russian formalism and continuously developed in world literature theory into calculable feature units. Excessive reliance on algorithmic logic will trap the progression of world literature into the crisis of technological reductionism. To address this crisis, this research proposes to construct a new mode of human-machine collaborative criticism based on digital humanism as the theoretical foundation. AI will empower the revelation of cross-cultural literary laws and the democratization of classic canon through macro-analysis, while human critics adhere to their dominant position in contextual interpretation, value judgment, and meaning generation. This collaborative mode not only recognizes the advantages of technology in processing massive data, but also emphasizes the irreplaceability of humanistic spirit in the final value judgment. It is designed to provide a feasible theoretical framework and development path for world literature to maintain diversity and creativity in the algorithmic era.
References
- Chen, Jiefeng, & Xu Zhangcheng (2025). Interactive Narrative: The Development Trajectory of AI Literature as a Human-Machine Community. Journal of Guangzhou University (Social Science Edition), 24(5), 14-27. https: //qikan.cqvip.com/Qikan/Article/Detail?id=7201696917& from=Qikan_Search_Index.
- Li, Guocheng (2024). Artificial Intelligence Literature and Its Challenge to the Conception of Modern Literature. Social Sciences in China, 07, 90-111+206. https: //qikan.cqvip.com/Qikan/Article/Detail?id=7112724745& from=Qikan_Search_Index.
- Porter, Brian, & Edouard Machery (2024). AI-generated poetry is indistinguishable from human-written poetry and is rated more favorably. Scientific Reports, 14(1), 26133. https: //doi.org/10.1038/s41598-024-76900-1.
- Damrosch, David (2003). What Is World Literature?. Princeton, NJ: Princeton University Press. http: //dx.doi.org/10.1515/9780691188645.
- Erlich, Victor (1980). Russian Formalism: History-Doctrine (4th ed.). Hague: Mouton Publishers. https: //doi.org/10.1515/9783110873375.
- Bennete, Tony (1979). Formalism and Marxism. London: Methuen Co. Ltd. https: //doi.org/10.4324/9780203101179.
- Derrida, Jacques (1992). Acts of Literature, ed, Derek Attridge. New York and London: Routledge. https: //doi.org/10.4324/9780203873540.
- Moretti, Franco (2000). Conjectures on world literature. New left review, 2(1), 54-68. doi.org/10.64590/hxj.
- Moretti, Franco (2013). Distant Reading. London & New York: Verso. https: //www.versobooks.com/en-gb/products/2309-distant-reading.
- Casanova, Pascale (2004). The World Republic of Letters, trans. M. B. DeBevoise. Cambridge: Harvard University Press. https: //www.hup.harvard.edu/books/9780674010215.
- Han, Lei (2023). The untranslatability of Literaturnost revisited in the era of artificial intelligence. Babel, 69(4), 564-579. https: //doi.org/10.1075/babel.00333.han.
- Kobierski, Miriam (2023). AI the Creator? Analysing prose and poetry created by artificial intelligence. Currents, 9, 1-21. www. currents.umk.pl.
- Wang, Wancheng (2023). An Analysis of the Essence, Literariness, and Aesthetic Attributes of Algorithmic Literature. Southern Cultural Forum, 05, 133-139. 10.14065/j.cnki.nfwt.2023.05.001.
- Liu, Weibing (2024). Algorithmic Ideology and Ideological Algorithms. Journal of Shenzhen University: Humanities & Social Sciences, 41(1), 152-160. https: //qikan.cqvip.com/Qikan/Article/Detail?id=7111722715.
- Wang, H. (2023). Defending the last bastion: A sociological approach to the challenged literary translation. Babel, (4), 465-482. https: //doi.org/10.1075/babel.00330.wan.
- Ge, Song, & Wang Ning (2024). Literary Translation in the Era of Artificial Intelligence: Challenges and Opportunities. Foreign Languages and Their Teaching, 01, 94-101+149-150. 10.13458/j.cnki.flatt.004984.
- Sheng, Anfeng, & Kong Yankun (2023). Neural machine translation and human translation: A political and ideological perspective. Babel, 69(4), 483-498. https: //doi.org/10.1075/babel.00332.she.
- Jiang, Jiyong, & Wang Lei (2025). The Intertextual Expression in Digital Humanities and Literary Criticism and the Construction of AI-Generated Poetics. Southeast Academic Research, 01, 94-106. 10.13658/j.cnki.sar.2025.01.016.
- Wang, Ning (2023). The Rise of Digital Humanities as a New Research Paradigm. Journal of Shanghai Jiao Tong University (Philosophy and Social Sciences), 31(12), 1-12. 10.13806/j.cnki.issn1008-7095.2023.12.001.
- Feuerriegel, Stefan, et al. (2025). Using natural language processing to analyse text data in behavioural science. Nature Reviews Psychology, 4(2), 96-111. https: //doi.org/10.1038/s44159-024-00392-z.
- Du, Lanlan (2020). Moretti’s Distant Reading and Its Influence. Comparative Literature in China, 03, 179-193. doi: 10.16234/j.cnki.cn31-1694/i.2020.03.013.
- Peng, Lan (2024). Human Actors in Intelligent Communication. Journal of Northwest Normal University (Social Sciences), 61(04), 25-35. 10.16783/j.cnki.nwnus.2024.04.003.
- Khokhar, Muhammad Ibrahim, & Muhammad Ejaz Khan (2024). Digital Humanities and Evolution of Literary Criticism: A Comprehensive Analysis. SBBU Journal of Social Sciences, 2(1), 18-25. https: //journals.sbbusba.edu.pk/jss/index.php/abc/article/view/29.