Journal of Artificial Intelligence Applications and Ethics (JAIAE)
Mission:
- To foster interdisciplinary research at the intersection of AI technology and ethics
- To provide open access to high-quality, peer-reviewed scholarship on AI applications and their ethical implications
- To promote responsible AI innovation across academia, industry, and government
- To support a global dialogue on fairness, transparency, accountability, and inclusivity in AI systems
Vision:
To become a leading global forum for responsible AI research by advancing knowledge that ensures artificial intelligence is developed and applied ethically, inclusively, and for the betterment of society.
Aims
- Facilitate informed discourse on the ethical challenges and societal impacts of AI Encourage research that addresses fairness, bias, accountability, transparency, and privacy in AI systems
- Highlight real-world AI applications in sectors such as healthcare, education, defense, finance, and governance
- Serve as a resource for educators, researchers, and practitioners developing or regulating ethical AI systems
The Journal of Artificial Intelligence Applications and Ethics (JAIAE) is an open-access, peer-reviewed academic journal that explores the convergence of cutting-edge AI innovations with ethical, legal, and societal considerations. JAIAE provides a critical platform for researchers, technologists, policymakers, educators, and industry professionals to share original research and thought leadership on the responsible development and application of artificial intelligence.
As AI technologies continue to evolve—through advances in machine learning, neural networks, generative AI, autonomous systems, natural language processing, and robotics—JAIAE aims to critically examine how these innovations are shaping society. The journal addresses the urgent need to align rapid technological progress with principles of fairness, transparency, accountability, and human dignity.
By fostering dialogue at the intersection of technology and ethics, JAIAE serves as a vital resource for guiding the development of AI systems that are innovative yet aligned with global standards of responsible innovation and inclusive progress.
Manuscript Turn around time
In-House Review: 1-2 days
External Peer Review: 2 weeks(i.e., initial editorial decision is approximately 2 weeks after the Submission)
Revision time: 1-2 weeks
Formal Publication: within a week after being accepted. Hence the turn around time for publishing the manuscript is about 27-31 days.