RAME PUBLISHERS

RAME Publishers supports the responsible, transparent, and ethically bounded utilization of Artificial Intelligence (AI) systems, Natural Language Processing (NLP) tools, and Large Language Models (LLMs) in scholarly inquiry and scientific publishing. All key stakeholders—including authors, peer reviewers, and journal editors—must adhere to stringent protocols governing transparency, intellectual accountability, confidentiality, and data integrity.

• Prohibition of Substantive Generation: AI models must not be used to draft, generate, or paraphrase core intellectual text, synthesize conceptual insights, or fabricate analytical datasets, images, or bibliography citations.
• Authorship Ineligibility: AI programs and LLMs do not satisfy academic criteria for authorship (COPE / ICMJE guidelines) because they cannot assume legal responsibility, consent to copyright transfer, or defend scholarly findings. AI tools cannot be designated as an author or co-author.
• Mandatory Disclosure: Any application of generative AI tools must be explicitly declared within the manuscript (e.g., in the Acknowledgments section or Methodology).
• Ultimate Human Responsibility: The corresponding and contributing authors remain solely responsible for the technical veracity, authenticity, absence of plagiarism, and factual integrity of all submitted materials.

Recommended Standard Disclosure Statement:

• Strict Confidentiality: Reviewers are prohibited from uploading unpublished manuscripts, supplementary files, or review comments into publicly accessible or cloud-hosted generative AI platforms.
• Prohibition of AI-Generated Reports: Peer-review evaluations require expert critical judgment. Generating automated referee reports or review summaries using AI violates the core tenets of peer review.
• Linguistic Clarification: Reviewers may use AI assistance strictly to polish the grammatical structure and readability of their own independently authored evaluation commentary.

• Workflow Assistance: Editors may utilize institutional editorial screening software (such as automated plagiarism detection engines and format checkers) for operational triage.
• Human Editorial Discretion: Editorial decisions—including initial screening, reviewer assignment, revision requests, and final publication acceptance—must be rendered by qualified academic editors, never by automated AI systems.
• Data Protection: Editors must ensure that confidential manuscript submissions are never processed through third-party AI models that retain, index, or reuse submitted intellectual property.

Adherence to this policy is mandatory. Failure to disclose AI assistance or the unauthorized deployment of generative models to fabricate or manipulate research records constitutes scientific misconduct.