Ethics In Scholarly Publishing: AI Use, Authorship, Predatory Practices, And Research Integrity
Synopsis
SPESIFIKASI BUKU
Harga : Rp 95.000
Ukuran : 18 cm x 25 cm
Jumlah Halaman : 156 hal
Ketebalan Buku : 1 cm
ISBN : On Proses
Deskripsi Buku : The rapid advancement of digital technology, artificial intelligence (AI), and open-access publishing has transformed the landscape of scholarly communication. Alongside these opportunities come significant ethical challenges, including the responsible use of AI in academic writing, questions of authorship and contributorship, the rise of predatory journals and conferences, and the growing importance of maintaining research integrity. These issues demand greater awareness and understanding from researchers, educators, students, editors, reviewers, and academic institutions. This book, Ethics in Scholarly Publishing: AI Use, Authorship, Predatory Practices, and Research Integrity, has been prepared to provide a comprehensive yet practical discussion of the ethical principles that should guide scholarly publishing. It explores current issues surrounding the ethical use of artificial intelligence, responsible authorship, publication misconduct, peer review, plagiarism, research transparency, and strategies for identifying and avoiding predatory publishing practices. The contents are intended to serve as a valuable reference for anyone involved in academic research and scientific publication.
REFERENSI :
American Psychological Association. (2017). Ethical principles of psychologists and code of conduct. https://www.apa.org/ethics/code
Association of Internet Researchers. (2019). Internet research: Ethical guidelines 3.0. https://aoir.org/reports/ethics3.pdf
Bozkurt, A. (2024). GenAI et al.: Cocreation, authorship, ownership, academic ethics and integrity in a time of generative AI. Open Praxis, 16(1), 1–10. https://doi.org/10.55982/openpraxis.16.1.654
British Psychological Society. (2021). Ethics guidelines for internet-mediated research. British Psychological Society.
Carter, S. M., Shih, P., Williams, J., Degeling, C., & Mooney-Somers, J. (2021). Conducting qualitative research online: Challenges and solutions. The Patient: Patient-Centered Outcomes Research, 14, 711–718. https://doi.org/10.1007/s40271-021-00528-w
Cheng, A., Lucey, C. R., & Thoma, B. (2025). Artificial intelligence-assisted academic writing: Recommendations for ethical use. Advances in Simulation, 10, Article 12. https://doi.org/10.1186/s41077-025-00350-6
Committee on Publication Ethics. (2023). Authorship and AI tools: COPE position statement. https://publicationethics.org/guidance/cope-position/authorship-and-ai-tools
Council for International Organizations of Medical Sciences. (2024). Good governance practice for research institutions. CIOMS.
Dodds, S., & Hess, A. C. (2021). Adapting research methodology during COVID-19: Lessons for transformative service research. Journal of Service Management, 32(2), 203–217. https://doi.org/10.1108/JOSM-05-2020-0153
European Commission. (2024). Living guidelines on the responsible use of generative AI in research. Directorate-General for Research and Innovation.
Guo, D., Ramos, R. L. M., & Wang, F. (2024). Qualitative online interviews: Voices of applied linguistics researchers. Research Methods in Applied Linguistics, 3(3), Article 100130. https://doi.org/10.1016/j.rmal.2024.100130
International Committee of Medical Journal Editors. (2024). Recommendations for the conduct, reporting, editing, and publication of scholarly work in medical journals. ICMJE.
Keen, S., Lomeli-Rodriguez, M., & Joffe, H. (2022). From challenge to opportunity: Virtual qualitative research during COVID-19 and beyond. International Journal of Qualitative Methods, 21, 1–11. https://doi.org/10.1177/16094069221105075
Khalifa, M., & Albadawy, M. (2024). Using artificial intelligence in academic writing and research: An essential productivity tool. Computer Methods and Programs in Biomedicine Update, 5, Article 100145. https://doi.org/10.1016/j.cmpbup.2024.100145
Lobe, B., Morgan, D., & Hoffman, K. A. (2020). Qualitative data collection in an era of social distancing. International Journal of Qualitative Methods, 19, 1–8. https://doi.org/10.1177/1609406920937875
Maldonado-Castellanos, I., Baruch-Dominguez, R., Jimenez-Santos, M. A., & Barbosa-Sanchez, I. (2023). Ethical issues when using digital platforms to perform interviews in qualitative health research. International Journal of Qualitative Methods, 22, 1–10. https://doi.org/10.1177/16094069231165949
Mondal, H., Mondal, S., & Podder, I. (2024). Responsible use of generative artificial intelligence for academic writing and research. Indian Journal of Dermatology, 69(5), 415–420.
National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. (1979). The Belmont report: Ethical principles and guidelines for the protection of human subjects of research. U.S. Government Printing Office.
National Institute of Standards and Technology. (2023). Artificial intelligence risk management framework (AI RMF 1.0). U.S. Department of Commerce. https://doi.org/10.6028/NIST.AI.100-1
Newman, P. A., Guta, A., & Black, T. (2021). Ethical considerations for qualitative research methods during the COVID-19 pandemic and other emergency situations: Navigating the virtual field. International Journal of Qualitative Methods, 20, 1–12. https://doi.org/10.1177/16094069211047823
Qadhi, S. M., Yousef, A. M. F., & Abu-Al-Aish, A. (2024). Generative AI, research ethics, and higher education: A systematic mapping of opportunities and risks. Information, 15(6), Article 325. https://doi.org/10.3390/info15060325
Republic of Indonesia. (2022). Law No. 27 of 2022 concerning Personal Data Protection.
Resnik, D. B. (2025). The ethics of using artificial intelligence in scientific research. AI and Ethics, 5, 1–12. https://doi.org/10.1007/s43681-024-00493-8
Roberts, L. D., & Allen, P. J. (2015). Exploring ethical issues associated with using online surveys in educational research. Educational Research and Evaluation, 21(2), 95–108. https://doi.org/10.1080/13803611.2015.1024421
Shibuya, F., Sari, D. P., Warnaini, C., Rivarti, A. W., Takeuchi, R., Kadriyan, H., de los Reyes, C., & Kobayashi, J. (2022). Lessons learned from online qualitative data collection in an international collaborative study during the COVID-19 pandemic. Advances in Health Sciences Research, 46, 278–286. https://doi.org/10.2991/ahsr.k.220206.052
UNESCO. (2021). Recommendation on the ethics of artificial intelligence. UNESCO.
World Conferences on Research Integrity. (2010). Singapore statement on research integrity. https://wcrif.org/guidance/singapore-statement
World Health Organization. (2021). Ethics and governance of artificial intelligence for health: WHO guidance. World Health Organization.
World Health Organization. (2025). Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models. World Health Organization.
World Medical Association. (2024). WMA Declaration of Helsinki: Ethical principles for medical research involving human participants. World Medical Association.
Zhang, Y., Chen, Y., Zhao, Y., & Wang, Y. (2024). Reporting of ethical considerations in qualitative research utilizing social media data on public health care: Scoping review. Journal of Medical Internet Research, 26, Article e51496. https://doi.org/10.2196/51496