Author Guidelines

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Author Guidelines

The article submitted to Journal of Artificial Intelligence Governance (JAIG) must be original, unpublished, and not under consideration by another journal or conference. The manuscript must present a clear research problem, strong academic contribution, relevant literature, rigorous methodology, systematic analysis, and meaningful implications for the advancement of artificial intelligence governance, responsible AI, algorithmic accountability, AI ethics, regulatory frameworks, trustworthy AI, digital policy, data governance, and socio-technical studies of automated decision-making systems.

JAIG accepts original research articles, systematic literature reviews, conceptual papers, policy analyses, case studies, methodological papers, and applied governance framework studies. Manuscripts should demonstrate relevance to artificial intelligence governance and should clearly connect technical, ethical, legal, institutional, managerial, or societal aspects of AI development and implementation.

The manuscript must be written in clear academic English. Authors are responsible for ensuring that the language, grammar, terminology, citation style, and formatting are suitable for scholarly publication. Manuscripts that do not follow the journal template, contain unclear writing, or lack relevance to the journal scope may be returned to the authors before peer review.

Manuscript Structure

The article should generally be organized into the following sections:

TITLE: The title must be concise, informative, and directly reflect the content of the research. It should clearly indicate the main topic, object, method, or contribution of the study. The title should avoid unnecessary abbreviations and overly broad claims.

AUTHOR IDENTITY: The manuscript must include the full name of each author, institutional affiliation, email address, country, and ORCID ID where available. The corresponding author must be clearly indicated.

ABSTRACT: The abstract must summarize the research background, objective, method, key findings, and contribution of the study. The abstract should be written in one paragraph and should not contain citations, tables, figures, equations, or unexplained abbreviations. The recommended length is between 150 and 250 words.

KEYWORDS: Authors must provide 3 to 6 keywords that represent the main content of the article. Keywords should be specific and relevant, such as artificial intelligence governance, responsible AI, algorithmic accountability, AI ethics, AI regulation, trustworthy AI, explainable AI, data governance, AI auditing, or digital policy.

INTRODUCTION: The introduction must explain the research background, problem statement, research gap, objective, novelty, and contribution of the study. It should also explain why the topic is important within the field of artificial intelligence governance. Authors must avoid overly general statements and should support the argument with relevant and recent literature.

LITERATURE REVIEW: The literature review should discuss relevant theories, prior studies, regulatory perspectives, governance models, technical frameworks, or conceptual debates related to the manuscript. Authors should critically synthesize previous work rather than merely listing prior studies. The review should clearly identify the research gap addressed by the article.

METHODS: The method section must explain the research design, data source, sample or case selection, analytical technique, model, framework, instrument, validation strategy, and research procedure. For empirical studies, authors must provide sufficient detail to allow reproducibility. For conceptual or policy papers, authors must explain the analytical framework, document selection, comparison criteria, or argument construction method.

RESULTS: The results section must present the main findings clearly and objectively. Authors may use tables, figures, diagrams, or models when necessary. Results should not merely describe data but should show how the findings answer the research question or support the proposed argument.

DISCUSSION: The discussion section must interpret the findings in relation to prior studies, theoretical perspectives, governance implications, regulatory relevance, technical significance, or practical implementation. Authors should explain the meaning of the findings, their contribution to AI governance, and their implications for researchers, policymakers, practitioners, institutions, or technology developers.

CONCLUSION: The conclusion must summarize the main findings, theoretical contribution, practical implications, limitations, and future research directions. The conclusion should be aligned with the objective and results of the study and should avoid unsupported claims.

ACKNOWLEDGMENT: Authors may acknowledge funding sources, institutional support, research collaborators, or other parties who contributed to the study but do not meet the criteria for authorship.

REFERENCES: References must consist primarily of relevant, recent, and reputable scholarly sources. Authors are encouraged to use journal articles, conference papers, books, policy documents, regulatory reports, and official institutional publications that are directly related to the topic. All references cited in the manuscript must appear in the reference list, and all references in the reference list must be cited in the text.

Specific Guidelines for JAIG Manuscripts

Manuscripts submitted to JAIG should clearly demonstrate relevance to one or more areas of artificial intelligence governance, including but not limited to responsible AI, AI ethics, algorithmic accountability, explainable AI, AI regulation, risk-based AI governance, public-sector AI, enterprise AI governance, data governance, digital policy, AI auditing, fairness, privacy, transparency, compliance, and socio-technical implications of automated decision-making systems.

Studies that propose AI governance models, frameworks, indicators, assessment tools, policy recommendations, or institutional implementation strategies must provide clear conceptual justification, analytical logic, and practical relevance. Claims regarding governance effectiveness, fairness, accountability, transparency, or trustworthiness must be supported by evidence, analysis, or a clearly explained theoretical foundation.

Manuscripts involving AI models, datasets, automated decision-making systems, or computational experiments should clearly describe the data, model architecture, evaluation metrics, validation procedures, limitations, and ethical considerations. Authors should also discuss potential bias, privacy issues, explainability, accountability mechanisms, and possible risks associated with the AI system being studied.

Use of Artificial Intelligence Tools

Authors must disclose the use of artificial intelligence tools, including generative AI, if such tools were used in writing, editing, data processing, coding, analysis, visualization, or any other part of the research process. AI tools cannot be listed as authors. Authors remain fully responsible for the accuracy, originality, integrity, and ethical compliance of the submitted manuscript.

Any use of AI-generated content must be carefully reviewed, verified, and corrected by the authors. The use of AI tools must not result in plagiarism, fabricated references, inaccurate claims, manipulated data, or misleading interpretations.

Tables, Figures, and Equations

Tables and figures must be numbered consecutively and must be cited in the text. Each table and figure must have a clear title or caption and should be placed close to the relevant discussion. Figures must be readable, high-resolution, and directly relevant to the manuscript. Equations must be written clearly and numbered when necessary.

Tables should not merely repeat information already explained in the text. They should be used to summarize, compare, classify, or present data in a clear and meaningful way. Figures may include conceptual frameworks, governance models, research flow diagrams, system architectures, analytical results, or policy mapping diagrams.

Citation and Reference Style

Authors must use a consistent citation and reference style according to the journal template. Reference management tools such as Mendeley, Zotero, or EndNote are recommended to ensure consistency and accuracy. Authors should prioritize recent and relevant references, especially from peer-reviewed journals, reputable conferences, official policy documents, and recognized institutional reports.

Ethical Considerations

Authors must ensure that the research follows appropriate ethical standards. Studies involving human participants, interviews, surveys, organizational data, sensitive data, or personal information must describe the ethical procedures used, including informed consent, privacy protection, anonymization, and institutional approval where applicable.

For studies related to AI systems, authors should address relevant ethical and governance issues, including fairness, transparency, accountability, human oversight, data protection, security, explainability, and potential social impact.

Plagiarism and Originality

Manuscripts submitted to JAIG must be original and free from plagiarism, self-plagiarism, data fabrication, falsification, duplicate publication, and unethical authorship practices. The editorial team may use plagiarism detection tools during the initial screening process. Manuscripts that do not meet originality standards may be rejected before peer review.

Submission Preparation Checklist

As part of the submission process, authors are required to ensure that their manuscript complies with the following items:

  1. The manuscript is original, unpublished, and not under consideration by another journal or conference.
  2. The manuscript is relevant to the focus and scope of Journal of Artificial Intelligence Governance (JAIG).
  3. The manuscript follows the journal template and author guidelines.
  4. The title, abstract, keywords, introduction, method, results, discussion, conclusion, and references are complete and clearly written.
  5. The research problem, gap, novelty, and contribution are clearly stated.
  6. The methodology or analytical framework is described in sufficient detail.
  7. All tables, figures, and equations are numbered, titled, and cited in the text.
  8. All references cited in the text are included in the reference list.
  9. The manuscript has been checked for grammar, clarity, formatting, and citation accuracy.
  10. Any use of AI tools has been disclosed appropriately.
  11. Ethical considerations, data privacy, and research integrity issues have been addressed where applicable.
  12. The manuscript file is submitted in Microsoft Word format according to the journal template.

Submission File Format

The submission file must be prepared using the official JAIG manuscript template. The preferred file format is Microsoft Word (.doc or .docx). Authors must ensure that the manuscript is editable and that all tables, figures, references, and author information are included properly.

Peer Review Process

All submitted manuscripts will undergo an initial editorial screening to evaluate scope relevance, originality, formatting, ethical compliance, and basic academic quality. Manuscripts that pass the initial screening will be assigned to qualified reviewers for peer review. The final editorial decision will be based on reviewer comments, manuscript quality, relevance, originality, methodological rigor, and contribution to the field of artificial intelligence governance.

Template

The template of Journal of Artificial Intelligence Governance (JAIG) can be downloaded here.