Copyright & Licensing

The International Journal of AI and Machine Learning (IJAIML) respects and protects the intellectual property rights of authors and is firmly committed to promoting ethical, transparent, and responsible scholarly publishing practices. The journal recognizes that intellectual ownership is a fundamental aspect of academic research and that authors should retain control over their original scholarly contributions while benefiting from wide dissemination and visibility of their work.

Authors who publish their research in IJAIML retain full copyright ownership of their articles. At the same time, authors grant the journal the necessary rights to publish, reproduce, distribute, display, and archive the work in both electronic and print formats. This arrangement ensures that the journal can effectively disseminate scholarly content to a global audience while respecting and preserving the author’s legal and intellectual rights.

By retaining copyright, authors maintain complete ownership of their intellectual work and are free to share, distribute, and reuse their published articles in accordance with the journal’s licensing terms. Authors may deposit their articles in institutional repositories, personal websites, academic networking platforms, or other non-commercial repositories, provided that proper acknowledgment of the original publication in the International Journal of AI and Machine Learning is clearly stated.

The copyright and licensing framework of IJAIML is designed to support the journal’s open-access publishing model, which promotes unrestricted access to scholarly research and encourages knowledge sharing across academic, professional, and geographic boundaries. By allowing broad reuse of published content with appropriate attribution, the journal enhances research visibility, citation potential, and academic impact while maintaining ethical standards.

IJAIML emphasizes that while authors retain copyright, the journal’s non-exclusive publishing rights enable long-term preservation, indexing, and distribution of published articles through digital platforms, academic databases, and archiving systems. This ensures continued accessibility of research findings and safeguards the scholarly record.

Authors are responsible for ensuring that their submissions are original, do not infringe upon third-party copyright, and include appropriate permissions for any copyrighted material such as figures, tables, datasets, software, or images. Proper citation and acknowledgment of all sources are essential components of responsible authorship and copyright compliance.

Through its copyright and licensing policy, the International Journal of AI and Machine Learning seeks to balance author ownership, open access dissemination, and ethical publishing standards. By clearly defining rights and responsibilities, the journal aims to create a transparent and supportive publishing environment that benefits authors, readers, and the broader research community while advancing innovation in artificial intelligence and machine learning.