The International Journal of Responsible Machine Learning (IJRML) is a peer-reviewed, open-access scholarly journal committed to advancing the development and deployment of machine learning technologies that are ethical, interpretable, and socially responsible.
Founded in 2025, IJRML provides an inclusive forum for researchers, practitioners, and interdisciplinary thinkers to publish work that goes beyond performance metrics — encouraging submissions that critically engage with issues of fairness, accountability, transparency, privacy, and the broader societal impact of AI.
All accepted articles are published under a Creative Commons licence and are freely accessible online. The journal is currently applying for indexing in SCOPUS, DOAJ, and DHET.
Our Mission
Promote high-quality, rigorous research in responsible machine learning
Encourage transparent and reproducible methods
Provide space for ethical reflection on emerging technologies
Support diversity of thought and global collaboration
Our Values
Academic independence and integrity
Equity in access and authorship
Openness in knowledge dissemination
Commitment to the public good
Who We Serve
IJRML welcomes contributions from:
Machine learning and AI researchers
Scholars in ethics, law, economics, and philosophy
Practitioners in government, NGOs, and industry
Educators and students focused on responsible technology