Christopher Ugbong Akeke, Oluwadayo Mafolasere Olaniyi, Busola Motunrayo Olawale, Utin Nyimeobong Archibong & Seun Michael Oyekunle·Asian Journal of Research in Computer Science·2026
The accelerating adoption of artificial intelligence across United States healthcare systems has intensified concerns over cyber resilience, data privacy, and regulatory compliance, yet existing governance frameworks remain fragmented and difficult to compare. This study addresse...
Open access
Research Article10.9734/ajrcos/2026/v19i7880
School psychologist shortages remain a critical challenge in high-need districts, where ratios often exceed 1:1,200, limiting timely mental health support for students. This desk-based study developed hybrid AI and telepsychology workforce models to address these shortages. A sys...
Open access
Research Article10.9734/ajrcos/2026/v19i6868
This study presents a hybrid federated learning and explainable artificial intelligence framework, termed RobustFL, designed to mitigate adversarial attacks in medical imaging while incorporating privacy-preserving mechanisms. Focusing on chest X-ray analysis, the research system...
Open access
Research Article10.9734/ajrcos/2026/v19i4852
Information privacy and data security governance increasingly depend on sustained human attention: employees must interpret warnings, follow changing policies, report anomalies, manage credentials, make disclosure decisions and repeatedly consent to data practices. Yet governance...
Open access
Research Article10.9734/ajrcos/2026/v19i8898
Artificial intelligence systems increasingly mediate consequential decisions in credit allocation, healthcare triage, employment screening and public administration, yet the data underpinning these decisions is frequently incomplete, mislabelled, stale or quietly altered as it mo...
Open access
Research Article10.9734/ajrcos/2026/v19i8892