The Use of Artificial Intelligence in Academic Publishing: Preliminary Remarks and Perspectives
Summary: 1. Introduction. – 2. Potential applications of AI in various processes of academic publishing, especially knowledge exchange. – 2.1. Аuthor and manuscript registration (validation) in the journal system. – 2.2 Initial analysis of the manuscript. – 2.3. Is there no plagiarism in the work? – 2.4. Selection of reviewers. – 2.5. Manuscript review. – 2.6. Communication with the author regarding received reviews. – 2.7. Decision on publication. – 2.8. Proofreading and publication of work and its registration in database systems. – 3. Conclusions.
Next, we will consider the following stages of working with scientific texts in the editorial offices of scientific journals: author and article registration in the journal system; initial analysis of the article; choice of reviewers; article review; communication with the author regarding received reviews; publication decision; proofreading and publication of work; its registration in database systems.
In the conclusion, we summarise tips for editors on how to use AI.
Abstract
Artificial intelligence programs are constantly developing, becoming an increasingly powerful tool for solving various problems. First of all, attempts have been made to use artificial intelligence (AI) to generate new texts, but practice shows that the level of creativity exhibited by these programs is still insufficient for producing substantial articles. Of course, this will not prevent AI programs from developing text, including generation of not only dissimilar text, but capably accomplishing certain conceptual tasks. However, even today, it is possible to use AI programs to solve standard tasks in the preparation, editing, reviewing, processing, and publication of scientific texts. This article will provide an overview of the latest trends in the use of AI programs for academic publishing using examples of several scientific journals. We will look at different levels of AI and their impact on editorial work and review the potential of AI in complementing human input.
Next, we will consider the following stages of working with scientific texts in the editorial offices of scientific journals: author and article registration in the journal system; initial analysis of the article; choice of reviewers; article review; communication with the author regarding received reviews; publication decision; proofreading and publication of work; its registration in database systems.
In the conclusion, we summarise tips for editors on how to use AI.
About Authors
Ganna Kharlamova
Dr. Sc. (Economic), Assoc. Prof., Faculty of Economics, Taras Shevchenko National University of Kyiv, Ukraine
Andriy Stavytskyy
Dr. Sc. (Economic), Prof., Faculty of Economics, Taras Shevchenko National University of Kyiv, Ukraine ; Managing editor in international journal Ekonomika (Vilnius University, Lithuania).
https://orcid.org/0000-0002-5645-6758
Managing editor – Dr Iryna Izarova. English Editor – Nicole Robinson.
Copyright: © 2023 Ganna Kharlamova and Andriy Stavytskyy. This is an open access article distributed under the terms of the Creative Commons Attribution License, (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
References
1. Awasthi S and others (eds), Artificial intelligence for a sustainable industry 4.0 (Springer Intern Pub 2021).
2. Bostrom N, Superintelligence: Paths, Dangers, Strategies (repr, CUP 2016).
3. Bostrom N and Yudkowsky E, ‘The Ethics of Artificial Intelligence’ in Frankish K and Ramsey W (eds), The Cambridge Handbook of Artificial Intelligence (CUP 2014) ch 15, 316, doi:10.1017/CBO9781139046855.020.
4. Crawford J and others, ‘Artificial Intelligence and Authorship Editor Policy: ChatGPT, Bard Bing AI, and beyond’ (2023) 20(5) Journal of University Teaching & Learning Practice 1, doi:10.53761/1.20.5.01.
5. Gao CA and others, ‘Comparing Scientific Abstracts Generated by ChatGPT to Original Abstracts Using an Artificial Intelligence Output Detector, Plagiarism Detector, and Blinded Human Reviewers’ (2023) 6(1) NPJ Digital Medicine 75, doi:10.1101/2022.12.23.521610.
6. Gasparini A and Kautonen H, ‘AI-Based Tools’ (Doria, March 2023)<https://www.doria.fi/bitstream/handle/10024/186899/AI-based-tools-2023-03.pdf?sequence=1&isAllowed=y> accessed 30 May 2023.
7. Goralski MA and Tan TK, ‘Artificial intelligence and sustainable development’ (2020) 18(1) The International Journal of Management Education 100330, doi:10.1016/j.ijme.2019.100330.
8. Jarrahi MH, ‘Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making’ (2018) 61(4) Business Horizons 577, doi:10.1016/j.bushor.2018.03.007.
9. Kaplan A and Haenlein M, ‘Rulers of the World, Unite! The Challenges and Opportunities of Artificial Intelligence’ (2020) 63(1) Business Horizons 37, doi:10.1016/j.bushor.2019.09.003.
10. Kaynak O, ‘The golden age of Artificial Intelligence: Inaugural Editorial’ (2021) 1 Discover Artificial Intelligence 1, doi:10.1007/s44163-021-00009-x.
11. Khalil M and Er E, ‘Will ChatGPT get you caught? Rethinking of Plagiarism Detection’ (arXiv:2302.04335, 8 February 2023) doi:10.48550/arXiv.2302.04335.
12. Kyryk N, ‘Catch the Robot: Services for Checking Texts for Artificial Intelligence’ (WordFactory, 2022) <https://wordfactory.ua/gpt-chat-detector> accessed 30 May 2023.
13. Ling X and Yan S, ‘Let’s be Fair. What about an AI editor?’ [2023] Accountability in Research 1, doi:10.1080/08989621.2023.2223997.
14. Lutz C, ‘Digital Inequalities in the Age of Artificial Intelligence and Big Data’ (2019) 1(2) Human Behavior and Emerging Technologies 141, doi:10.1002/hbe2.140.
15. Mazzone M and Elgammal A, ‘Art, Creativity, and the Potential of Artificial Intelligence’ (2019) 8(1) Arts26, doi:10.3390/arts8010026.
16. Molnár G and József C, ‘AI Based Plagiarism Checking: Ease of use and appli7cable system for teachers to find similarities in students’ assessments’ (2022 IEEE 5th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE), Budapest, Hungary, 21-22 November 2022) 187, doi:10.1109/CANDO-EPE57516.2022.10046379.
17. Müller VC and Bostrom N, ‘Future Progress in Artificial Intelligence: A Survey of Expert Opinion’ in Müller VC (ed), Fundamental Issues of Artificial Intelligence (Synthese Library 376, Springer 2016) 555, doі:10.1007/978-3-319-26485-1_33.
18. Park SH and others, ‘Ethical Challenges Regarding Artificial Intelligence in Medicine from the Perspective of Scientific Editing and Peer Review’ (2019) 6(2) Science Editing91, doi:10.6087/kcse.164.
19. Shin D and Kee KF, ‘Editorial Note for Special Issue on Al and Fake News, Mis(dis)information, and Algorithmic Bias’ (2023) 67(3) Journal of Broadcasting & Electronic Media 241, doi:10.1080/088381 51.2023.2225665.
20. Tlili A, Burgos D, and Looi CK, ‘Guest Editorial: Creating Computational Thinkers for the Artificial Intelligence Era-Catalyzing the Process through Educational Technology’ (2023) 26(2)Educational Technology & Society 94, doi:10.30191/ETS.202304_26(2).0007.
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Нотатка
ВИКОРИСТАННЯ ШТУЧНОГО ІНТЕЛЕКТУ В АКАДЕМІЧНИХ ВИДАННЯХ: ПОПЕРЕДНІ ЗАУВАЖЕННЯ ТА ПЕРСПЕКТИВИ
Ганна Харламова та Андрій Ставицький
АНОТАЦІЯ
Програми штучного інтелекту постійно розвиваються і стають все більш потужним інструментом для вирішення різноманітних завдань. Перш за все, були зроблені спроби використати штучний інтелект (ШІ) для генерації нових текстів, але практика показує, що рівень креативності цих програм усе ще недостатній для створення змістовних статей. Звісно, це не завадить програмам ШІ розробляти текст, у тому числі генерувати не тільки несхожий текст, але здатний виконувати певні концептуальні завдання. Проте вже сьогодні є можливість використовувати програми ШІ для вирішення стандартних завдань із підготовки, редагування, рецензування, обробки та публікації наукових текстів. У цій статті буде здійснено огляд останніх тенденцій у використанні програм ШІ для академічних видань на прикладі кількох наукових журналів. Ми розглянемо різні рівні ШІ та їх вплив на редакційну роботу, а також проаналізуємо потенціал ШІ в доповненні людського внеску. Далі розглянемо такі етапи роботи з науковими текстами в редакціях наукових журналів: реєстрація автора та статті в системі журналу; первинний аналіз статті; вибір рецензентів; рецензування статті; спілкування з автором щодо отриманих рецензій; рішення про публікацію; коректура та публікація роботи; її реєстрація в системах баз даних. У висновку ми узагальнюємо поради для редакторів щодо використання ШІ.
Ключові слова:
штучний інтелект, редактори, редакційний менеджмент, академічне видання, дослідницька доброчесність, відкрита наука, Україна.
Keywords
- Artificial intelligence, editors, editorial management, academic publishing, research integrity, open science, Ukraine
Publication history
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Submitted on 1 Jun 2023 / Revised 07 Jul 2023 / Approved 14 Jul 2023
Published online: 5 Sep 2023
How to cite it?
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G Kharlamova, A Stavytskyy ‘The Use of Artificial Intelligence in Academic Publishing: Preliminary Remarks and Perspectives’ 2023 4 (21) Access to Justice in Eastern Europe. https://doi.org/10.33327/AJEE-18-6.3-n000319
