About the Journal
The AI Journal publishes high-quality, peer-reviewed research on artificial intelligence, machine learning, and data-driven innovation. The journal welcomes contributions that advance theory, practice, and the societal impact of AI across diverse domains. TAIJ supports open access, transparent scholarship, and the responsible development of intelligent systems. Manuscripts must include original research, reviews, case studies, and applied studies demonstrating real-world value. The journal operates on a zero APC model, supported by a volunteer community and technology-enabled editorial processes.
Current Issue
Volume 6, Issue 4 of The Artificial Intelligence Journal (TAIJ) concludes the 2025 publication year with a comprehensive collection of research produced during October through December 2025. This issue reflects a moment of profound transformation in the AI landscape, shaped by the rapid evolution of agentic ecosystems, trustworthy automation frameworks, and hybrid intelligence models that blend reasoning, memory, and autonomy.
A defining theme this quarter is the stabilization and governance of autonomous AI systems. Several contributions examine oversight architectures, real-time risk detection, alignment mechanisms, and verifiable reasoning pipelines designed to ensure that agentic systems behave predictably and safely in dynamic environments. These works illustrate how global AI deployment now requires equal focus on capability and control.
The issue also highlights major advancements in long-context language models, retrieval-enhanced reasoning, generative multimodal systems, and highly efficient architectures such as sparse-compute SLMs and modular transformers. Authors present innovations in energy-aware training, distributed inference, and domain-adaptive fine-tuning—demonstrating the continued shift toward AI that is both powerful and operationally sustainable.
Applied research featured in this volume spans high-impact domains including healthcare and biomedical intelligence, robotics and autonomous navigation, climate adaptation modeling, infrastructure resilience, national security analytics, enterprise risk forecasting, and scientific knowledge discovery. These studies showcase AI’s expanding role in environments that demand precision, reliability, and multi-modal understanding at scale.
Ethical, societal, and regulatory considerations remain central throughout this issue. Several articles explore global AI safety standards, transparency mechanisms, auditability frameworks, and strategies for building public trust in automated decision systems. These discussions underscore the increasing need for multidisciplinary governance as AI becomes deeply embedded in civic, commercial, and scientific infrastructures.
As the final issue of 2025, Volume 6, Issue 4 reaffirms TAIJ’s commitment to rigorous scholarship, open access, and global collaboration. The research presented here offers a clear view of the breakthroughs, challenges, and emerging responsibilities that defined AI at the close of 2025—setting the trajectory for innovation and responsible development in 2026 and beyond.
