Implementation of Artificial Intelligence on Indonesia’s Defense Intelligence Activities

Rizky Ramadhianto, Tahan Samuel Lumban Toruan, Susaningtyas Nefo Handayani Kertopati, Hikmat Zakky Almubaroq
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Abstract

The global dynamics nowadays are synonymous with technological developments which have led to the complexity of emerging threats for implementing Indonesia's defense that come from state actors and non-state actors by taking advantage of technological advances in every digital-based crime. To respond, the concept of digital transformation needs to be realized in a more simultaneous and integrated manner for the defense process through technology platforms. One of them is using Artificial Intelligence technology on defense intelligence activities digitally to prevent sudden strategic attacks on defense forces. Despite of benefits that help intelligence performance in the defense sector, applying Artificial Intelligence technology has potential negative impacts. This article aims to study the significant implications of Artificial Intelligence technology on national defense using a qualitative descriptive method in literacy studies originating from journals, books, and credible internet sources. The findings provide that potential threats from Artificial Intelligence-based defense intelligence activities include miscalculation of algorithmic processes in the intelligence collecting phase, breaches in the process of sharing strategic defense data, and errors in processing statistical data as an effort to observe the reactions of other countries to maintain the balance of defense forces, resulting of misinterpretation in order to estimate national power of them and their intentions in deploying military force. If the potential threats are not focused on being addressed, it will have an impact on reducing the effectiveness of defense intelligence to reduce uncertainty in forecasting global threats.
人工智能在印尼国防情报活动中的应用
当今的全球动态与技术发展是同义词,技术发展导致印度尼西亚实施国防的新威胁变得复杂,这些威胁来自国家行为体和非国家行为体,利用每一种基于数字的犯罪的技术进步。为此,需要通过技术平台以更加同步和集成的方式实现国防过程的数字化转型概念。其中之一是将人工智能技术用于国防情报活动,以防止对国防力量的突然战略攻击。尽管人工智能技术有助于国防部门的情报表现,但它也有潜在的负面影响。本文旨在研究人工智能技术对国防的重大影响,采用定性描述方法进行素养研究,这些研究来源于期刊、书籍和可靠的互联网资源。研究结果表明,基于人工智能的国防情报活动的潜在威胁包括情报收集阶段算法过程的错误计算,战略防务数据共享过程中的破坏,以及为观察其他国家的反应而处理统计数据的错误,以维持国防力量的平衡。为了估计他们的国家实力和他们部署军事力量的意图而产生的误解。如果不集中精力解决潜在威胁,就会降低国防情报的有效性,从而减少预测全球威胁的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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