Generative Ai Policies

Policy On The Ethical Use Of Generative Artificial Intelligence

1. Context and Foundational Framework
This policy is developed with reference to international guidelines on the use of Generative Artificial Intelligence (AI) in scholarly publishing, including:
a. STM        : Recommendations for classifying the use of AI in academic manuscript preparation.
b. Elsevier : The application of generative AI and AI-assisted technologies within the review process.
c. WAME    : Guidelines on the use of chatbots, generative AI, and scholarly manuscripts.

Jurnal Biodjati recognizes the growing role of artificial intelligence in supporting research activities and academic writing. Generative AI technologies offer various benefits, including assisting with idea development, improving research workflow efficiency, supporting data analysis, enhancing writing quality, organizing manuscripts, helping authors whose first language is not English, and accelerating the dissemination of research findings. In response to the rapid development of AI technologies, Jurnal Biodjati establishes guidelines for the use of AI by authors, editors, and reviewers to ensure that its application remains consistent with the principles of publication ethics and academic integrity. These guidelines may be periodically updated in accordance with technological developments and evolving scholarly publishing practices. Although generative AI can enhance creativity and productivity, its use also presents several risks that require careful consideration. These technologies can generate various types of output, including text, images and synthetic data. Common examples of generative AI tools include ChatGPT, Copilot, Gemini, Claude, NovelAI, and Jasper AI.
The main risks associated with the use of generative AI technologies include:
A. Information Inaccuracy and Bias
    Generative AI operates based on probabilistic systems and therefore does not always produce accurate
    information. It may generate incorrect information, fabricated content (AI hallucinations), and biased
    outputs that can be difficult to detect.
B. Limitations in Source Attribution
    Generative AI does not always comply with academic standards for accurately acknowledging
    information sources, ideas, quotations, and references. Therefore, all information and references
    generated by AI must be carefully checked and verified by the authors.
C. Confidentiality and Intellectual Property
     The use of AI platforms operated by third parties may pose risks to data security, information
     confidentiality, and the protection of copyright and intellectual property rights.
D. Use of Data Without Consent
    AI service providers may reuse user inputs or outputs, for example, to train AI models. Such practices
    may potentially infringe upon the rights of authors, publishers, and other relevant stakeholders.

2. Guidelines for Authors
     A. Authorship and Accountability: Generative AI tools must not be credited as authors or co-
          authors. Authorship entails legal, ethical, and scientific responsibilities that can only be fulfilled by
          human researchers.
     B. Permitted Uses: The use of AI is permitted only for limited purposes, including preliminary
          conceptual exploration, language and stylistic refinement, literature categorization, and coding
          support. All AI-generated outputs must undergo thorough human review and verification.
     C. Prohibited Practices: Authors are prohibited from submitting AI-generated text or code without
         proper editing and verification, replacing empirical findings with unverified synthetic datasets, or
         creating or modifying visual materials using generative AI, including graphs, tables, medical images,
         formulas, and raw datasets.
    D. Mandatory Disclosure of AI Use: Authors must explicitly disclose any use of AI in the Methods or
        Acknowledgements section. The disclosure must specify the name of the AI tool, its version, the
        scope of its use, and its purpose in the research.

3. Guidelines for Editors and Peer Reviewers
    A. Confidentiality and Data Protection: Editors and peer reviewers are strictly prohibited from
         uploading unpublished manuscripts, supplementary files, images, or proprietary data to public AI
         platforms or third-party AI services. Such actions constitute a direct breach of manuscript
         confidentiality and the authors' intellectual property rights.
    B. Critical Evaluation: Manuscript assessment, substantive criticism, and editorial decision-making
         must be conducted entirely by humans. Reviewers may use AI tools only to improve the language
         and readability of their written comments or feedback. However, they remain fully responsible for
         the content, assessments, and scientific judgments presented in their review reports.