Generative AI

1. Introduction

Magistra Andalusia: Jurnal Ilmu Sastra (MAJIS) recognises the increasing use of Artificial Intelligence (AI), including generative AI and AI-assisted technologies, in academic research, manuscript preparation, scholarly communication, peer review, and editorial publishing.

AI technologies can provide useful assistance in activities such as language improvement, translation, literature exploration, coding, data analysis, organisation of ideas, and other research-related tasks. At the same time, inappropriate or undisclosed use of AI may create risks concerning:

  • academic integrity;

  • originality;

  • plagiarism;

  • inaccurate or fabricated information;

  • fabricated references;

  • intellectual property and copyright;

  • authorship and accountability;

  • confidentiality;

  • privacy;

  • research integrity; and

  • transparency in scholarly communication.

MAJIS therefore permits responsible use of AI and AI-assisted technologies while maintaining the principle that human authors, reviewers, editors, and editorial staff remain responsible for their scholarly judgments, decisions, and outputs.

AI tools cannot replace human authorship, critical reasoning, scholarly interpretation, editorial judgment, or accountability.

This policy applies to the use of generative AI and AI-assisted technologies by:

  • authors;

  • reviewers;

  • editors;

  • editorial staff; and

  • other participants in the MAJIS publishing process.

The policy is informed by the Generative AI Policy of Jurnal Optimasi Sistem Industri (JOSI), relevant COPE principles concerning authorship, integrity, confidentiality, and responsible publication, and international scholarly publishing guidance concerning AI-assisted technologies. JOSI similarly emphasises human oversight, transparency, confidentiality, and accountability in AI use.

This policy does not prohibit legitimate use of AI. Rather, it establishes conditions under which AI may be used responsibly without compromising the integrity of the scholarly record.

2. Definition of Generative AI and AI-Assisted Technologies

2.1 Artificial Intelligence

For the purposes of this policy, Artificial Intelligence (AI) refers broadly to computational systems capable of performing tasks that ordinarily require aspects of human cognitive activity, including:

  • language processing;

  • pattern recognition;

  • classification;

  • prediction;

  • translation;

  • generation;

  • summarisation;

  • analysis; and

  • decision support.

2.2 Generative AI

Generative AI refers to AI systems capable of generating new content in response to user instructions or prompts.

Generated outputs may include:

  • text;

  • images;

  • audio;

  • video;

  • computer code;

  • synthetic data;

  • summaries;

  • translations; or

  • other forms of content.

Examples include, but are not limited to:

  • ChatGPT;

  • Gemini;

  • Claude;

  • Microsoft Copilot;

  • other large language models (LLMs);

  • AI image generators; and

  • other generative AI platforms.

The examples are illustrative rather than exhaustive.

2.3 AI-Assisted Technologies

AI-assisted technologies include tools that use AI to assist with:

  • grammar and language improvement;

  • translation;

  • literature discovery;

  • citation management;

  • coding;

  • data analysis;

  • statistical analysis;

  • visualisation;

  • transcription;

  • summarisation;

  • research organisation; and

  • other scholarly activities.

2.4 AI Tools and Scholarly Responsibility

The use of an AI tool does not transfer responsibility for scholarly content from the human user to the AI provider.

Authors, reviewers, editors, and editorial staff remain responsible for the material they submit, produce, evaluate, or publish.

3. General Principles

MAJIS applies the following principles to AI use.

3.1 Human Accountability

Human participants remain ultimately responsible for the accuracy, integrity, originality, legality, and ethical appropriateness of their work.

3.2 Transparency

Material use of AI should be disclosed where required by this policy.

Disclosure allows readers, editors, reviewers, and other stakeholders to understand how AI contributed to the work.

3.3 Verification

AI-generated or AI-assisted outputs must be critically reviewed and verified by the responsible human user.

AI systems may generate:

  • inaccurate statements;

  • fabricated references;

  • incomplete explanations;

  • misleading interpretations;

  • biased outputs; or

  • non-existent sources.

AI output must therefore never be treated as inherently reliable.

3.4 Originality

AI assistance does not exempt authors from the journal's requirements concerning:

  • originality;

  • plagiarism;

  • proper citation;

  • copyright;

  • authorship;

  • research integrity; and

  • responsible scholarly communication.

3.5 Confidentiality

Confidential manuscripts, peer-review reports, editorial correspondence, and other non-public materials must not be uploaded to AI systems where confidentiality cannot be assured.

3.6 Privacy

Users must not submit personally identifiable, confidential, sensitive, proprietary, or otherwise protected information to third-party AI services without an appropriate legal and ethical basis and adequate safeguards.

3.7 Intellectual Property

Users must consider the copyright and intellectual-property implications of both:

  • material entered into an AI system; and

  • material generated by an AI system.

Users must ensure that AI-assisted work does not unlawfully reproduce or misappropriate third-party content.

4. Acceptable Use of AI by Authors

4.1 General Principle

Authors may use AI tools in preparing manuscripts submitted to MAJIS provided that:

  1. the use complies with this policy;