Authors are invited to submit original and high-quality scholarly manuscripts to Journal of Human-AI Futures (JOHAF). Manuscripts should demonstrate a clear contribution to human–AI interaction, responsible artificial intelligence, AI and society, governance, organizational transformation, or future human–AI systems. Submissions must comply with the journal's scholarly, ethical, transparency, and manuscript preparation requirements.
Manuscripts must present original scholarly work that has not been published previously and is not simultaneously under consideration by another journal.
Submissions should demonstrate a substantive contribution to one or more of the journal's core areas: Human–AI Interaction and Collaboration, Responsible AI, Ethics and Governance, AI, Society and Human Transformation, or Futures of Human–AI Systems.
Purely technical manuscripts focusing only on algorithmic performance, model architecture, software implementation, or computational optimization may be considered outside the scope unless they demonstrate clear relevance to humans, institutions, organizations, governance, society, responsible AI, or future human–AI systems.
JOHAF applies a double-anonymous peer review process. Manuscripts submitted for review must not contain author names, affiliations, acknowledgements, institutional identifiers, or other information that directly identifies the authors.
Full author names, affiliations, countries, email addresses, and ORCID identifiers should be entered separately in the OJS metadata.
Manuscripts should be submitted in an editable word-processing format and should follow the official journal template where available.
The title should be concise, specific, academically informative, and accurately reflect the human, social, organizational, ethical, governance, or technological issue investigated.
Complete author metadata must be entered through OJS, including full name, institutional affiliation, country, email address, and ORCID identifier where available.
The abstract should normally contain approximately 150–250 words and summarize the research problem, objective, methodology, principal findings, and main conclusion or implication.
Authors should provide 3–6 keywords representing the principal concepts, AI systems, human factors, societal context, governance issues, or methodological approach addressed in the manuscript.
The Introduction should establish the technological, human, organizational, social, ethical, or policy context of the study, identify the research problem and knowledge gap, state the research objective or question, and clearly explain the novelty and significance of the work.
Authors should critically engage with relevant international and interdisciplinary literature rather than merely listing prior studies.
The manuscript should clearly explain relevant theoretical, conceptual, technological, ethical, organizational, or governance frameworks where appropriate.
The literature review should establish the knowledge gap and explain how the study advances understanding of human–AI relationships or future AI-enabled systems.
The Methods section should provide sufficient detail to allow readers to understand, evaluate, and where appropriate reproduce the research.
Authors should describe the study design, participants or units of analysis, data sources, sampling procedures, AI systems or models, instruments, experimental conditions, data collection, analytical procedures, and statistical methods where applicable.
Studies involving human participants should report recruitment procedures, informed consent, ethics approval, relevant demographic characteristics, and measures taken to protect privacy and confidentiality.
Results should be presented clearly and should correspond directly to the research objectives, questions, or hypotheses.
Where appropriate, quantitative results should include relevant measures of uncertainty, effect sizes, confidence intervals, error rates, or statistical tests.
The Discussion should interpret findings in relation to human behavior, trust, decision-making, ethics, governance, organizational change, social impact, responsible AI, or future human–AI collaboration.
Claims regarding AI performance, fairness, reliability, explainability, safety, or societal impact should not exceed what is supported by the evidence.
The Conclusion should directly reflect the principal findings and clearly state their theoretical, practical, ethical, organizational, governance, or societal significance.
Authors should avoid broad claims that are unsupported by the study. Limitations and directions for future research should be stated where appropriate.
Authors should provide the following information where applicable:
Authors remain fully responsible for the accuracy, authenticity, originality, ethical compliance, and interpretation of all submitted material.
Artificial intelligence tools, generative AI systems, large language models, or autonomous agents cannot be listed as authors.
Authors must remain responsible for verifying the accuracy, originality, references, data, analysis, and conclusions of all AI-assisted content.
Substantive use of generative AI in writing, coding, analysis, translation, image generation, literature synthesis, or data interpretation should be disclosed where relevant.
Tables, figures, diagrams, screenshots, model outputs, and other visual materials should be clearly numbered, appropriately titled, and referred to in the manuscript text.
Authors should clearly identify AI-generated or AI-assisted images, outputs, or synthetic data when their origin is relevant to interpretation.
Research data and code should be shared where ethically, legally, and practically appropriate. When they cannot be shared, the reason should be stated.
References should be relevant, credible, and sufficient to establish the current state of knowledge.
Authors are encouraged to engage with recent peer-reviewed international literature together with important foundational sources.
Digital Object Identifiers (DOIs) should be provided whenever available. References generated or suggested by AI tools must be independently verified.
Citation manipulation, unnecessary self-citation, irrelevant citation, or fabricated references are not acceptable.
Manuscripts first undergo editorial screening for scope, originality, scholarly contribution, methodological quality, ethical compliance, and adherence to submission requirements.
Manuscripts that pass screening may proceed to double-anonymous peer review by at least two independent reviewers.
Authors receiving a revision decision should respond point-by-point to reviewer and editor comments and clearly indicate the changes made.
Submission of a revised manuscript does not guarantee acceptance. Final editorial decisions remain the responsibility of the editorial team.
Following acceptance, manuscripts may undergo copyediting, metadata verification, reference checking, layout preparation, proofreading, and other production procedures before publication.
