AI & Scientific Writing Ethics
AI and Scientific Writing Ethics
In alignment with modern scientific standards, the Journal of Contemporary Business and Economic Studies (JCBES) follows the ethical guidelines regarding the use of Artificial Intelligence (AI) and Generative AI technologies. To maintain research integrity and transparency, the ethical rules governing AI utilization in this Journal cover the following core areas:
1 Authorship and Human Responsibility
Generative AI tools, Large Language Models (LLMs), or AI-assisted software cannot be listed as authors or co-authors, as they cannot hold legal accountability, grant copyright, or manage conflicts of interest.
2 Permitted Use and Mandatory Disclosure for Authors
✓ Permitted Scope of Application:
The use of AI tools is strictly limited to language editing, improving readability, grammar checks, and translation support.
✕ Prohibited Content Generation:
AI must not be used to generate core scientific insights, formulate hypotheses, analyze research data, or fabricate citations.
Mandatory Declaration:
Authors must explicitly declare the use of generative AI tools in a dedicated "AI Usage Declaration" section prior to the references, specifying the tool name, version, and the exact scope of its application.
3 Reviewers, Editors, and Confidentiality
- Reviewers and editors are strictly forbidden from uploading submitted manuscripts, abstracts, or evaluation data into public or third-party AI tools to protect intellectual property and data privacy.
- Reviewers and editors must not use AI tools to write, draft, or summarize peer review reports or editorial decision letters.
- Solely Human Expertise: All scholarly evaluations and editorial decisions must be produced solely through human expertise.
4 Automated Screening, AI Detection, and Editorial Actions
The editorial office employs certified automated detection tools during the initial screening process to check for uncredited AI-generated text, synthetic data, or plagiarism.