Editorial Policies
- Editorial Policies
- Advertisement Policies
- Creative Commons License
- COPE Recommendation for Conflict of Interest (specific to editors)
- Peer Review Process
- Publication Ethics and Malpractice Statement
- COPE Recommendation for Plagiarism
- Conflict of Interest and Financial Disclosures (specific to editors)
- Publisher Policies
- Editorial Process
- Editorial Policies: Future and Emerging Technologies in AI & ML maintains a robust editorial policy designed to ensure the publication of high-quality, original research in the fields of artificial intelligence and machine learning. The editorial board is responsible for selecting manuscripts that align with the journal’s scope, ensuring that the content is innovative, scientifically sound, and contributes to the advancement of AI and ML technologies. Manuscripts undergo a rigorous peer-review process, where independent experts evaluate the technical quality, originality, and relevance of the work. Editors prioritize transparency, fairness, and the absence of bias in decision-making. They assess submissions based on scientific merit, technical accuracy, and their contribution to the broader field. All editorial decisions are made independently, and the journal maintains a strict policy against any form of discrimination, harassment, or conflict of interest. The editorial board adheres to international publishing standards, providing guidance and oversight to maintain ethical publishing practices. Additionally, editors ensure that all accepted papers comply with ethical guidelines, including those related to human and animal rights, conflicts of interest, and data integrity. This editorial framework underpins the journal’s commitment to advancing the frontiers of AI and ML through responsible, transparent, and ethically guided publication practices.
- Advertisement Policies: Future and Emerging Technologies in AI & ML adheres to a strict advertisement policy to maintain the academic integrity of the journal and ensure the quality of its content. The journal accepts advertisements that are relevant to its field, such as those related to AI and ML technologies, research tools, data analytics, or other scientific advancements. However, all advertisements must comply with the journal's ethical standards and not influence editorial decisions or the content published in the journal. Advertisements are clearly separated from the editorial content to avoid any potential conflicts of interest or confusion regarding the impartiality of the journal’s research. The editorial team ensures that advertising material does not present misleading claims or misrepresent scientific concepts, especially in the rapidly evolving fields of AI and ML. The journal does not accept advertisements for products or services that are in conflict with the ethical standards of research or that promote unverified, pseudoscientific, or controversial technologies. Any commercial partnerships or sponsorships must be transparently disclosed to the readership, and the editorial board will review all advertisements to ensure they align with the journal’s mission to promote responsible and scientifically rigorous advancements in AI and ML. This policy ensures that advertising does not interfere with the academic focus or credibility of the journal.
- Creative Commons License: Future and Emerging Technologies in AI & ML follows an open-access model, and all articles published in the journal are licensed under a Creative Commons license, which encourages broad dissemination and use of the published content. The journal uses the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license, which allows others to remix, tweak, and build upon the work non-commercially, as long as they credit the original authors and license their new creations under the same terms. This licensing approach ensures that the research is freely accessible to the global scientific community and beyond, without the barriers imposed by subscription-based models. By using the CC BY-NC-SA license, the journal ensures that authors maintain their intellectual property rights while enabling others to use their work to advance further research in AI and ML. It also promotes transparency and reproducibility by encouraging the sharing of research data and methods. The journal’s open-access policy is consistent with the increasing demand for open science and the need for global collaboration in solving complex challenges in AI and ML. Authors are required to explicitly agree to this license during the submission process, and any third-party materials included in the article must be appropriately credited and licensed for reuse.
- COPE Recommendation for Conflict of Interest (Specific to Editors): Future and Emerging Technologies in AI & ML adheres to the guidelines set forth by the Committee on Publication Ethics (COPE) regarding conflicts of interest for editors. Editors must disclose any financial, personal, or professional relationships that could influence their decision-making process, ensuring impartiality and transparency in the editorial process. The journal’s editorial team is committed to evaluating all submissions based solely on the quality and relevance of the research. If an editor has a potential conflict of interest with a submitted manuscript, they must recuse themselves from the editorial process to avoid bias. This includes relationships with authors, institutions, or funding bodies that could be perceived as influencing editorial decisions. Editors are responsible for upholding the integrity of the review and decision-making process by ensuring that their personal interests do not interfere with the fair and objective evaluation of manuscripts. In line with COPE recommendations, editors are trained to recognize potential conflicts and are provided with guidance on how to handle situations that may arise. This policy ensures that the journal maintains its credibility and that all decisions made by the editorial board are in the best interest of advancing research in AI and ML.
- Peer Review Process: The peer review process at Future and Emerging Technologies in AI & ML is designed to ensure the highest standards of scientific rigor and integrity. Upon submission, manuscripts are evaluated by at least two independent experts in the field of AI and ML, selected for their knowledge and experience relevant to the topic. The peer review process is double-blind, meaning both authors and reviewers remain anonymous to each other, to eliminate bias and maintain objectivity. Reviewers are tasked with assessing the scientific quality, originality, significance, and methodology of the research, providing constructive feedback to authors to improve the manuscript. The journal aims for rapid and transparent reviews, with the expectation that reviewers provide timely and thorough evaluations. Based on reviewers’ comments, the editor will make one of three decisions: acceptance, minor revision, or major revision. In cases where reviewers disagree or concerns are raised, the editorial team may seek additional opinions or suggest modifications to resolve discrepancies. The peer review process ensures that only high-quality, scientifically sound research is published, contributing to the advancement of AI and ML. The journal is committed to promoting transparency in the peer review process, and all accepted manuscripts will undergo a final editorial review before publication.
- Publication Ethics and Malpractice Statement: Future and Emerging Technologies in AI & ML is committed to upholding the highest ethical standards in the publication of research. The journal adheres to the principles set out by the Committee on Publication Ethics (COPE) to promote ethical practices in all stages of the publication process. The journal requires that all submitted manuscripts are original, free from plagiarism, and properly attributed to all contributing authors. Authors must disclose any conflicts of interest, including financial support and personal relationships that may influence their work. The journal does not tolerate fabrication, falsification of data, or any form of academic misconduct. If a case of research misconduct is identified at any stage of the publication process, the journal will take appropriate action, which may include retraction of the article, correction of errors, or other necessary steps. In cases where an article is found to contain significant ethical violations after publication, it may be retracted or corrected with a public notice. Future and Emerging Technologies in AI & ML promotes transparency and accountability in AI and ML research and is committed to publishing only those works that adhere to the highest ethical standards.
- COPE Recommendation for Plagiarism: In accordance with the guidelines provided by the Committee on Publication Ethics (COPE), Future and Emerging Technologies in AI & ML upholds a zero-tolerance policy toward plagiarism in all forms. Authors are required to ensure that their manuscripts are free from plagiarism, including self-plagiarism, and that all sources of data, ideas, or text from other authors are appropriately cited. The journal uses plagiarism detection tools to check all submissions for originality. If a manuscript is found to contain plagiarized content, it will be rejected immediately. In cases where plagiarism is detected post-publication, the journal will take appropriate action, including issuing a correction or retraction, depending on the severity of the issue. Authors found guilty of plagiarism may be banned from submitting future articles to the journal. The journal follows COPE’s guidelines to ensure that plagiarism is dealt with in a fair and transparent manner, and that the integrity of the publication process is upheld. The journal also encourages the proper citation of AI and ML models, algorithms, and datasets, which are often the intellectual property of others, to maintain academic integrity and prevent misrepresentation.
- Conflict of Interest and Financial Disclosures (Specific to Editors): Future and Emerging Technologies in AI & ML adheres to COPE guidelines regarding conflict of interest and financial disclosures for editors. Editors must declare any personal, professional, or financial interests that could be perceived as influencing their editorial decisions. This includes relationships with the authors of submitted manuscripts, funding sources, or affiliations with organizations that may have a vested interest in the outcome of the research. Editors must recuse themselves from reviewing or making decisions on manuscripts where a conflict of interest is present. In addition, editors are required to disclose any relevant financial support or relationships, such as consulting fees, grants, or ownership stakes in AI and ML-related companies. This disclosure ensures transparency and helps maintain the integrity of the editorial process. The journal follows these guidelines to prevent bias in the peer review and decision-making processes, ensuring that all published research is evaluated fairly, without any undue influence from external parties. By adhering to these standards, the journal fosters trust in its editorial practices and maintains a high level of credibility in the field.
- Publisher Policies: The publisher of Future and Emerging Technologies in AI & ML is committed to maintaining the highest standards of integrity, transparency, and ethical publishing practices. The publisher adheres to the principles outlined by the Committee on Publication Ethics (COPE), including those related to conflicts of interest, plagiarism, and data integrity. The publisher ensures that the journal's editorial team is independent and that editorial decisions are based solely on the scientific merit of submitted manuscripts. The publisher also works to ensure the open-access model of the journal, ensuring that all research is freely accessible to the global academic community. Additionally, the publisher is responsible for ensuring compliance with copyright law and for managing the financial aspects of the journal, including Article Processing Charges (APCs). The publisher collaborates with research institutions, universities, and other organizations to facilitate the dissemination of high-quality research in the fields of AI and ML. Furthermore, the publisher is dedicated to ensuring that all published articles are preserved for long-term access, in accordance with digital preservation best practices. The publisher’s policies are designed to promote the journal’s mission of advancing cutting-edge research and fostering a global dialogue on the future of AI and ML.
- Editorial Process: The editorial process at Future and Emerging Technologies in AI & ML is designed to ensure the highest standards of scientific publishing. Upon submission, manuscripts undergo an initial screening to assess their suitability for the journal. If the manuscript meets the journal’s criteria, it is sent for peer review, where at least two independent reviewers evaluate the quality, originality, and relevance of the work. The editorial team ensures that reviewers provide constructive feedback to help authors improve their manuscripts. After the review process, the editor makes a decision—acceptance, minor revision, or major revision—based on reviewers’ comments. Authors are encouraged to address reviewers' feedback and resubmit revised manuscripts for further evaluation if necessary. Once the manuscript is accepted, it undergoes copyediting and formatting to ensure consistency and clarity. The editorial team maintains open communication with authors throughout the process to keep them informed of the status of their manuscript. Additionally, the journal ensures that all accepted papers comply with the journal’s ethical guidelines, including those related to conflicts of interest, data sharing, and research integrity. This transparent and rigorous editorial process ensures that only high-quality, peer-reviewed research is published in the journal.