Submissions
Submission Preparation Checklist
All submissions must meet the following requirements.
- The manuscript is original and not published or under review elsewhere.
- Author names and affiliations are removed from the main file and supplied on a separate title page.
- The manuscript follows the AIGF template, Author Guidelines and reference style.
- All references have been checked, and tables and figures are numbered and labelled.
- Funding, conflicts of interest, ethics approval and any use of generative AI tools are declared.
- All authors have approved the submission and agree to publication under CC BY 4.0.
Original Research Articles
Original research articles report substantial and original theoretical, empirical, computational, experimental, qualitative, quantitative, or mixed-method research in which artificial intelligence is substantively central to the research question, method, phenomenon, or contribution. Manuscripts should demonstrate a clear scholarly contribution, methodological rigor, and relevance to one or more areas within the scope of Artificial Intelligence and Global Futures. All submissions undergo initial editorial screening and, where suitable, double-anonymized peer review by at least two independent reviewers.
Review Articles
Review articles provide critical, integrative, systematic, bibliometric, or state-of-the-art synthesis of significant areas related to artificial intelligence and its applications or implications. Reviews should go beyond descriptive summaries by identifying major theoretical, methodological, or empirical developments, unresolved questions, and meaningful directions for future research.
Systematic Reviews & Meta-Analyses
Systematic reviews and meta-analyses provide transparent, rigorous, and reproducible synthesis of existing evidence on topics within the scope of AIGF. Authors should clearly describe search strategies, inclusion and exclusion criteria, analytical procedures, and relevant reporting standards. Submissions should generate substantive insights rather than merely catalogue previous studies.
Conceptual & Theory Articles
Conceptual and theory articles advance new theories, frameworks, models, propositions, or integrative perspectives concerning artificial intelligence and its technological, organizational, economic, human, environmental, regulatory, or societal implications. Manuscripts should demonstrate strong grounding in relevant literature and offer a clearly identifiable theoretical contribution.
Methods & Technical Articles
Methods and technical articles present novel or substantially improved AI-related methods, algorithms, models, datasets, evaluation approaches, analytical procedures, technical frameworks, or systems with clear scholarly relevance. Authors should provide sufficient methodological detail to support assessment, transparency, and reproducibility where applicable.
Perspectives & Policy Insights
Perspectives and policy insights provide rigorous, evidence-informed analysis of emerging developments, challenges, debates, policy issues, or future directions related to artificial intelligence. Contributions should offer a distinctive scholarly perspective and clear implications for research, practice, policy, governance, or society.
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