Vol. 1 No. 4 (2020): The AI Journal Q4 2020

Closing out its inaugural publication year, The AI Journal (TAIJ) presents Volume 1, Issue 4, encompassing scholarship from Q4 2020—a period marked by accelerating reliance on intelligent systems across healthcare, education, logistics, and enterprise operations.

This issue includes impactful articles addressing knowledge-enhanced AI, intelligent automation, edge computing, neural-symbolic systems, explainability, and adaptive security models. Together, these contributions reflect emerging trends toward hybrid intelligence, responsible AI governance, and scalable architectures capable of supporting global digital ecosystems.

The final quarter of 2020 saw renewed emphasis on robust, transparent, and trustworthy AI deployments. This edition captures those priorities, featuring research that bridges theoretical foundations with applied outcomes, enabling organizations to derive meaningful value from AI while safeguarding ethical and operational standards.

Through its rigorous peer-review process and open-access dissemination model, TAIJ strengthens its commitment to accessible, high-impact AI scholarship.
Volume 1, Issue 4 concludes the journal’s first year by spotlighting innovative research that informs the future trajectory of artificial intelligence across disciplines.