All manuscripts submitted to AiGEV 2026 are required to adhere to the highest standards of publication ethics. Submitted manuscripts must be original, must not have been previously published or be under consideration elsewhere, and must not contain plagiarism, fabricated or falsified data, or any form of academic misconduct. All sources must be appropriately cited, and all listed authors must have made significant contributions to the work. Any potential conflicts of interest must be disclosed at the time of submission. Where artificial intelligence (AI) tools are used, authors remain fully responsible for the accuracy, originality, and integrity of the submitted work. AI tools may be used only to support language editing or improve readability and must not replace the authors' intellectual contributions, scientific analysis, interpretation of results, or authorship. Manuscripts found to violate these ethical requirements may be rejected or withdrawn in accordance with the conference's publication ethics policy.

At both the point of initial submission and prior to publication, all manuscripts submitted to the journal are screened with Turnitin. This detects plagiarism and compares text similarity with published literature, online sources, and journal archives. Plagiarism, which is the use of others’ words, ideas, data, methods, figures or code without appropriate citation and claiming it as original to the work, is an ethics violation that can incur a penalty whether this was done intentionally or negligently. These include mosaic plagiarism, idea plagiarism and use of unpublished material accessed during the peer review evaluation. Different disciplines have different similarity thresholds; even very high scores do not necessarily indicate plagiarism since technical writing, when properly cited, often uses similar terminology and methods. All flagged manuscripts are assessed individually by the editorial team.

Non-scholarly citation manipulation (e.g., citation activities outside of academic attribution) is a serious violation of this prohibition across journal publications. This includes coercive citation (editors or reviewers requesting specific citations in order to accept a manuscript or write a favourable review), citation stacking (a coordination of reciprocal citing between researchers), reference fabrication (falsely quoting non-existent literature, such as sites that do not contain the information cited and even AI-generated references), and excessive self-citation with no justification. Authors should limit self-citations to no more than five (including co-authored works) or 20% of all references, whichever is lower. All citations must be scientifically valid, properly credited, and directly relevant to the manuscript. Any suspicion of citation manipulation will trigger an editorial investigation; confirmed cases may result in rejection or, if already published, corrections, expressions of concern, or retractions.

Fabricating data, such as creating results, observations, measurements, or responses that were not actually obtained, and falsifying data by hiding, altering, or removing authentic information to distort actual findings, is regarded as the most serious form of research misconduct. It is classified as a Level critical violation under the IJAME Misconduct Handling Policy. Restrictions on image manipulation that change the original results (including selective enhancement, splicing, feature duplication, or other digital processing that alters visible content) are also in place. Only adjustments to brightness/contrast that are uniform across the entire image are permitted and must be mentioned directly in the figure legend. Statistical misconduct, such as cherry-picking positive results, performing inappropriate analyses, or misrepresenting the data's uncertainty or importance.

Submitting a manuscript to AiGEV requires the corresponding author to confirm that the work has not been previously published in nearly identical form, is not under review by another journal, and will not be submitted elsewhere during the review process. Both duplicate submissions, submitting the same or similar manuscript to multiple journals at once, and duplicate publication, publishing the same content in more than one outlet without full disclosure and editorial approval, are deemed misconduct. Nonetheless, legitimate secondary publication, such as translating the work into another language for a different audience with full disclosure, consensus from all editors, and proper cross-referencing in both versions, is permitted with prior written approval from the AiGEV Editor-in-Chief. Posting a preprint on recognised servers is not considered prior publication and does not hinder submission, provided it is disclosed at the time of submission.

Ethics statement for research related to human participants, animals, or sensitive personal data; required. For research with human participants, the full name of the ethics committee or internal review board (IRB) which approved the study must be included by the corresponding author alongside the approval reference number, approval date, and confirmation that it is followed under this protocol and to what degree it conformed to the Declaration of Helsinki (2013 revision-recognizing harmonization). For studies involving animals, the statement should confirm compliance with relevant animal welfare regulations and institutional guidelines (including the name and approval number of the committee, the date of approval or the institutional body approving the work, and a reference to when such approval was obtained).
For research involving personal data, the statement must confirm compliance with the Malaysian Personal Data Protection Act 2010 and other relevant international privacy laws. If ethics review was waived, for example, because the data were publicly available secondary data or anonymised records, this should be made explicit. The Editor-in-Chief can request copies of ethics approval documents at any time before or after a review.

Authors are required to disclose any utilisation of generative AI tools, like large language models, AI writing assistants, AI image generators, and AI-assisted data analysis tools, when preparing their manuscript. The disclosure must specify the tool name, version, and how it was used. Authors are fully responsible for ensuring the accuracy, originality, and integrity of all content generated with AI; these tools are not considered authors and do not fulfil the four ICMJE authorship criteria. Disclose if AI tools were used for language editing, grammar, or translation. The journal considers the undisclosed use of AI-generated text, figures, code, or references a breach of its publication ethics and will treat it as misconduct per the Misconduct Handling Policy. Authors must clearly state that no AI tools were employed.