RBGN Artificial Intelligence (AI) Policy | Review of Business Management

RBGN Artificial Intelligence (AI) Policy

Ethical Guidelines for the Use of Artificial Intelligence (AI)

February 21, 2025

Guidelines to Authors

RBGN does not prohibit the use of Artificial Intelligence (AI) for improving text, exploring research questions and ideas, analyzing data, or other purposes related to submissions as long as proper safeguards are observed. RBGN requires that the use of AI adhere to clear ethical guidelines to ensure transparency, replicability, accountability, and human oversight. Authors must carefully review and edit AI-generated content, as AI can produce outputs that may be inaccurate, incomplete, or biased. For more information about examples of the ethical and responsible use of AI, refer to the documentation on a human rights approach to AI developed by UNESCO https://www.unesco.org/en/artificial-intelligence/recommendation-ethics .

The use of AI must be transparent to editors, reviewers, and readers. Authors are required to disclose any use of AI tools in their submissions, including tasks such as translation, text enhancement, formatting, or data synthesis. This information must be provided in the Open Science Form https://rbgn.fecap.br/RBGN/libraryFiles/downloadPublic/5 and a corresponding statement will be included in the published manuscript

If the editorial team determines that the use of AI has compromised the integrity of a paper—whether published, under review, or accepted—RBGN reserves the right to retract, reject, or take any necessary action. RBGN will uphold the commitment to rigorous, novel, and ethical research.

Allowed Applications of AI in RBGN

AI, when properly disclosed, can support a range of editorial activities, including:

Enhancing Readability and Proofreading: Improving clarity, coherence, language, and translation quality.
Idea Development and Research Design: Assisting in exploring research questions and methodologies.
Interactive Online Search: Leveraging LLM-enhanced search engines for more efficient literature reviews.
Coding Assistance: Supporting data analysis and programming tasks while adhering to RBGN’s replicability standards.
Formatting and Reference Standardization: Ensuring compliance with journal submission guidelines.
Data Processing: Facilitating data handling while adhering to RBGN’s replicability standards. Scripts or step-by-step procedures must be detailed in the Methods section and included with other open data documents.

Restrictions on AI Use in RBGN

AI cannot support or replace a range of editorial activities, detailed in our guidelines to Editors and reviewers, including Human Oversight: AI must not replace human judgment or decision-making. All AI-generated outputs must be reviewed, curated, and validated by humans to prevent copyright infringement.
Research Idea creation: AI cannot be used to formulate research questions and methodologies.
Image Creation and Editing: AI cannot be used to generate or modify images.
Authorship: AI and AI-assisted tools are not eligible for authorship and cannot be listed as authors or co-authors.

Commitment to Ethical and Responsible Use

Our editorial team is dedicated to helping authors navigate the ethical use of AI. We acknowledge the rapid evolution of AI technologies and will regularly update these guidelines to address new challenges and opportunities.

By adhering to these principles, we strive to uphold academic integrity and foster responsible, transparent and ethical use of AI in the publication process. Effective immediately.

Guidelines to Reviewers and Editors

Reviewers and editors are strictly prohibited from using AI tools, including but not limited to ChatGPT, to generate review reports or analyze submitted manuscripts. Reviewers and Editors must not upload a submitted manuscript or any part of it into generative AI tools, as this could compromise the confidentiality and proprietary rights of the authors. Engaging in these actions may have legal repercussions and have a strong impact on academic careers.

While the use of AI to enhance the clarity and quality of written feedback in peer review reports is permitted, this must be transparently disclosed when submitting the peer review report to the handling editor. For editors, all editorial decisions must involve human oversight to ensure fairness, accuracy, and adherence to ethical standards.

AI cannot replace human judgment or decision-making in editorial tasks, and any support output generated by AI tools must be reviewed, curated, and validated by human editors to ensure their reliability and appropriateness. These guidelines are in place to preserve the highest ethical standards in the evaluation process, safeguarding trust and credibility in the editorial and peer review processes.

Suggested References

For guidance on AI, we recommend the following papers:

Cornelissen, J., Höllerer, M. A., Boxenbaum, E., Faraj, S., & Gehman, J. (2024). Large Language Models and the Future of Organization Theory. Organization Theory, 5(1), 26317877241239056.

Gatrell, C., Muzio, D., Post, C., & Wickert, C. (2024). Here, there and everywhere: On the responsible use of artificial intelligence (AI) in management research and the peer‐review process. Journal of Management Studies, 61(3), 739-751.

Islam, G., & Greenwood, M. (2024). Generative artificial intelligence as hypercommons: Ethics of authorship and ownership. Journal of Business Ethics, 192(4), 659-663.

Lorenz, F., Lorenzen, S., Franco, M., Velz, J., & Clauß, T. (2024). Generative artificial intelligence in management research: a practical guide on mistakes to avoid. Management Review Quarterly, 1-21.