Earticle

초록

영어

The research is about an AI-powered egovernance framework that aims at transforming the national defense and security sector with the help of digital intelligence. The restructured system features artificial intelligence, data analytics, and secure governance layers to facilitate decision-making, threat detection, and resource management. From a methodological point of view, the paper represents risk as influenced by cognitive bias and control effectiveness, based on hologram visuals and key performance indicator (KPI) analyses. The report illustrates that the adoption of AI leads to the achievement of tasks with much higher accuracy, reduction of the time interval between two events, or steps in a process and making it easier for audit trail to be followed in defense operations. The findings support the view that the combination of bias reduction and control effectiveness improvement leads to a decrease in operational risk, thereby paving the way for digital transformation in national defense governance to be conducted in a secure and a way that can be easily understood by human users.

목차

Abstract
I. Introduction
II. Literature Review
III. Methodology
A. Architecture & Workflow
B. Risk Surface (Hologram Model)
C. EVALUATION Plan
IV. Results
V. Discussion
VI. Conclusion
VII. References

키워드

저자

• Atif Ali [ UST, Kolalampur Malaysia. ]
• Salman Ghani Virk [ Riphah International University, Islamabad, Pakistan ]
• Haroon Tariq Sheikh [ Iqra University Islamabad, Pakistan ]
• Tariq Hanif [ UIIT PMAS Arid Agriculture University, Rawalpindi, Pakistan ]
• Ali Raza [ University of Gujrat, Pakistan ]
• Naik Nawaz [ MSCS NUST Pakistan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004