Artificial Intelligence (AI)

A Cyber Risk Management Perspective on Shipbuilding AI-Based Supply Chain Management

Abstract:

Artificial Intelligence (AI) has become a key driver of productivity gains across various industrial sectors, including naval shipbuilding and repair. By integrating AI into supply chain operations, these industries can achieve greater efficiency, cost savings, and resilience. AI’s ability to optimize processes and enhance decision making offers significant advantages. However, with the growing use of AI, the risks of cybersecurity incidents also increase. As the use of AI-based systems becomes more prevalent, the potential for cybersecurity vulnerabilities and incidents also grows. These incidents could have severe repercussions, potentially compromising the integrity of supply chains, disrupting manufacturing operations, and exposing sensitive data. This paper explores the role of AI in supply chain management within the naval shipbuilding and repair industry, focusing on both the benefits and the emerging cybersecurity risk management and other challenges associated with AI adoption. It provides insights into balancing innovation with the need for strong cyber defenses in this vital sector.

Published In

Volume 23, Issue 4

Effects-Based Ideas: An Opinion-Based Examination

Abstract:

This is an opinion paper of an examination of effects-based ideas. It examines the idea from its fundamental concept. This is developed to examine its broader application to more than air force operations to almost any project concerning military, social, political, and business. In fact, this approach can be used wherever effects of project development have external implications outside systems boundaries and where unforeseen internal implications can affect society.

Published In

Volume 22, Issue 4

Machine Intelligence to Detect, Characterise, and Defend against Influence Operations in the Information Environment

Abstract:

Deceptive content—misleading, falsified, and fabricated—is routinely created and spread online with the intent to create confusion and widen political and social divides. This study presents a comprehensive overview of content intelligence capabilities (WatchOwl– https://watchowl. pnnl.gov/) to detect, describe, and defend against information operations on Twitter as an example social platform to explain the influence of misleading content diffusion and enable those charged with defending against such manipulation and responsive parties to counter it. We first present deep learning models for misinformation and disinformation detection in multilingual and multimodal settings followed by psycho-linguistic analysis across broad deception categories. 

Published In

Volume 20, Issue 2

Enabling Successful Artificial Intelligence Implementation in the Department of Defense

Abstract: 

The Pentagon sees Artificial Intelligence (AI) as a key enabler of future military operations. However, to secure the potential promise of AI, the Department of Defense (DoD) must address a number of challenges including technological diversity, cultural silos, and insufficient skillsets. The onset of what is perceived to be the next global ‘arms’ race will position ’the winner’ as the top superpower that could define and dictate future directions and priorities across the globe. 

Published In

Volume 17, Issue 2

Written By

John S. Hurley

Journal of Information Warfare

The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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