This statement outlines the general policy adopted by the journal "Linguistic Issues" regarding the use of Generative Artificial Intelligence (GenAI) tools in academic research. The following are the most important provisions of the statement:

1. Scope and Purpose

These policies seek to establish an ethical and legal framework for the use of Generative Artificial Intelligence (GenAI) tools and large language models (LLMs) at all stages of academic research: from article preparation, through review and peer review, to publication.

The primary goal is to protect academic integrity, ensure transparency, and promote accountability in academic writing and publishing.

2. Definition

Generative AI is a branch of artificial intelligence that focuses on generating new content, such as text, images, or code, based on patterns learned from data. Its techniques have evolved with the emergence of deep neural networks, transformers, and diffusion models, enabling it to produce outputs very close to human creativity. Its applications range from writing and editing to graphic design, video generation, and programming support.

- Prominent examples of text models include:

• Chat GPT, DeepSeek, Perplexity AI, Claude AI, Google Gemini, LLaMA, Mistral...

- In the field of image generation, we find tools such as:

• Adobe Firefly, Craiyon (formerly known as: DALL•E Mini), Runway Gen-2, Midjourney V7, Stable Diffusion...

- There are also built-in productivity tools such as:

• GitHub Copilot, GrammarlyGO, Tabnine, Microsoft Copilot, Notion AI, Jasper...

- Large language models (LLMs), on the other hand, are part of this field, but they specialize in natural language. These models are trained on massive amounts of text and use techniques such as machine learning and fine-tuning to generate, summarize, or translate coherent texts.

These models offer researchers and users great flexibility and speed in performing multiple tasks, but they are not without flaws; they require massive training resources, may introduce biases from their data, and their working mechanisms are not always transparent.

3. Basic Principles and Standards

3.1. Ethical Use:

The use of AI tools must comply with the guidelines of the Committee on Publication Ethics (COPE), Elsevier, and international publishing policies. These emphasize the need to treat these new technologies with caution and responsibility, ensuring the preservation of the originality and integrity of scientific research.

o GenAI can be used for simple mechanical tasks such as proofreading, style improvement, summarization, citation formatting, or generating graphics from data provided by the author.

o It must not be used to produce original content or scientific results, nor to replace human intellectual effort.

3.2. Integrity of Review and Review:

The same applies to the scientific review and review process. The use of GenAI in review and editing remains limited and subject to specific conditions. Reviewers or editors must adhere to the following:

o Limit the use of GenAI to secondary tasks (summarization, proofreading), with the obligation to disclose this.

o Scientific decisions, critical evaluation, and final recommendations must remain solely human responsibility.

o Review reports or critical comments must not be generated solely by AI.

3.3. Transparency and Disclosure:

A key aspect of contemporary publishing policies is transparency and disclosure. Authors must adhere to the following:

o Clearly disclose any use of AI in the article.

o The name of the tool or model used and the purpose of its use (e.g., language enhancement, graphic design) must be stated.

o Failure to disclose this information constitutes a breach of academic integrity.

3.4. Authorship

GenAI tools cannot be considered authors because they do not meet the criteria for authorship (intellectual contribution, review, and accountability).

3.5. Responsibility

Responsibility for the content submitted for publication falls on the authors. Therefore, they bear full responsibility for the accuracy, originality, and ethical integrity of the content.

4. Acceptable and Prohibited Uses

Modern publishing policies define a set of acceptable uses for AI tools in research, within a framework that preserves academic integrity and ensures that intellectual contributions remain the responsibility of researchers. These legitimate uses include:

• Improving language and style.
• Producing images and graphs based on data provided by researchers.
• Assisting in formatting references and citations.
• Supporting brainstorming and initial ideas, without interfering with scientific analysis or conclusions.

Conversely, there are practices that are strictly prohibited, as they pose risks to the credibility of scientific production. The most notable of these violations are:

• Fabricating data or results.
• Creating fake references or citations.
• Plagiarism or presenting generated content as original human production.
• Concealing or failing to disclose the use of artificial intelligence tools.

5. Mandatory Disclosure

If authors use GenAI tools in their research, they are expected to disclose this in their manuscripts and provide the following information:

• The names of the artificial intelligence tools used.
• The nature of the tasks they assisted with.
• Confirming that the intellectual work, analysis, and conclusions were performed solely by the authors.

6. Oversight and Verification

The journal's editorial board plays an important oversight role in this area, carefully reviewing disclosures. If unauthorized content is suspected, plagiarism detection software may be used or additional clarification may be requested from the authors.

The journal reserves the right to reject or withdraw an article after publication, or to notify the research institution in the event of a violation.

7. Possible Sanctions

If a violation is proven, and if the content generated by GenAI is verified to be unauthorized or in violation of any of the provisions of this statement, one or more of the following disciplinary actions will be taken, depending on the severity of the violation:

• Rejection of the article before publication.
• Retraction of the article after publication (retraction).
• Notification of the academic institution or funding body.
• Prohibition of future research submissions in cases of recurrence or serious violations.

 

 

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 Other languages

سياسة استخدام الذكاء الاصطناعي التوليدي ( GenAI Use Policy in ARABIC )

Politique d'utilisation de l'intelligence artificielle générative (GenAI Use Policy in FRENCH)