Human-Machine Collaborative Intelligent Writings: Its Evolution and Implications

doi:10.3969/j.issn.1674-8921.2025.01.008

Abstract

Abstract:

Artificially intelligent writing has become an irreversible trend. This article, from the perspective of human-machine collaboration, provides an assessment and comparison of artificial intelligence writing systems in three stages: the emergence stage of AI writing, the stage of diversified exploration, and the stage of comprehensive development. It analyzes the characteristics and development trends of human-machine collaboration in intelligent writing systems at different stages. Building upon this analysis, it discusses the progress, issues, and implications of human-machine collaborative intelligent writing systems in academic English writing and teaching in terms of the integration of writing assistance and revision assistance, dialogue-based interaction, comprehensive coverage of the writing process, and Man-Computer symbiosis.

Key words: Human-machine collaboration, Human-machine interaction, Artificial intelligence writing system, Content generation

CLC Number:

H319

LI Jingjie, CHEN Qiuyan. Human-Machine Collaborative Intelligent Writings: Its Evolution and Implications[J]. Contemporary Foreign Languages Studies, 2025, 25(1): 73-83.

References 26

[1]	Aljanabi M., M. Ghazi A. H. Ali, et al. 2023. ChatGPT: Open possibilities[J]. Iraqi Journal for Computer Science and Mathematics 4(1): 62-64.
[2]	Ding N., Y. Qin G. Yang, et al. 2023. Parameter-efficient fine-tuning of large-scale pre-trained language models[J]. Nature Machine Intelligence (5): 220-235.
[3]	Dowling M. & B. Lucey. 2023. ChatGPT for (finance) research: The bananarama conjecture[J]. Finance Research Letters 53: 103662.
[4]	Gao, C. A., F. M. Howard, N. S. Markov, et al. 2022. Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers[J/OL]. [2023-12-1]. https://doi.org/10.1101/2022.12.23.521610.
[5]	Gilat R. & B. J. Cole. 2023. How will artificial intelligence affect scientific writing, reviewing and editing? The future is here[J]. Arthroscopy 39(5): 1119-1120.
[6]	Golan R., R. Reddy A. Muthigi, et al. 2023. Artificial intelligence in academic writing:A paradigm-shifting technological advance[J]. Nature Reviews Urology (20): 327-328.
[7]	Huang J. & M. Tan. 2023. The role of ChatGPT in scientific communication: Writing better scientific review articles[J]. American Journal of Cancer Research 13(4): 1148-1154.
[8]	Livberber T. 2023. Toward non-human-centered design: Designing an academic article with ChatGPT[J]. Profesional de la información/Information Professional 32(5): 1-19.
[9]	Rahwan I., M. Cebrian N. Obradovich, et al. 2019. Machine behaviour[J]. Nature 568(7753): 477-486.
[10]	Van Dis, E. A. M., J. Bollen, W. Zuidema, et al. 2023. ChatGPT: Five priorities for research[J]. Nature 614(7947): 224-226.
[11]	别君华、施旭、周俐含. 2019. 变革与重构:人工智能介入话语实践[J]. 未来传播(4): 8- 14, 110-111.
[12]	顾小清、郝祥军. 2022. 从人工智能重塑的知识观看未来教育[J]. 教育研究(9): 138-149.
[13]	郭琪. 2019. AI+记者:智媒时代人机协同写作模式的局限性与可能性[J]. 出版广角(24): 67-69.
[14]	郭茜、冯瑞玲、华远方. 2023. ChatGPT在英语学术论文写作与教学中的应用及潜在问题[J]. 外语电化教学(2): 18-23, 107.
[15]	郝东杰. 2023. 生成式人工智能时代学术论文写作规范之重申[J]. 出版参考(11): 45-50.
[16]	胡加圣、戚亚娟. 2023. ChatGPT时代的中国外语教育:求变与应变[J]. 外语电化教学(1): 3-6, 105.
[17]	黄国春. 2019. 人工智能新闻写作的路径探析[J]. 出版广角(15): 65-67.
[18]	焦建利、陈婷. 2023. 大型语言模型赋能英语教学:四个场景[J]. 外语电化教学(2): 12-17, 106.
[19]	李艳、金皓月、杨玉辉. 2023. 基于ChatGPT的研究生人机协同学术写作实践研究及启示[J]. 远程教育杂志 41(5): 38-48, 75.
[20]	石晓玲. 2012. 在线写作自动评改系统在大学英语写作教学中的应用研究——以句酷批改网为例[J]. 现代教育技术(10): 67-71.
[21]	万小军. 2023. 智能文本生成:进展与挑战[J]. 大数据(2): 99-109. doi: 10.11959/j.issn.2096-0271.2023014
[22]	汪靖、米尔外提·卡马勒江、杨玉芹. 2023. 人机共生的复合脑:基于生成式人工智能辅助写作教学的应用发展及模式创新[J]. 远程教育杂志 41(4): 37-44.
[23]	杨丹丹. 2019. 人工智能写作与文学新变[J]. 艺术评论(10): 117-129.
[24]	杨逸云. 2021. 人工智能写作的应用现状与问题[J]. 写作41(1): 109-115.
[25]	于雪、翟文静、侯茂鑫. 2022. 人工智能时代人机共生的模式及其演化特征探究[J]. 科学与社会 12(4): 106-119.
[26]	张学军、董晓辉. 2020. 人机共生:人工智能时代及其教育的发展趋势[J]. 电化教育研究41(4): 35-41.