DCGS Next Generation: Accelerating Change to Deliver Decision Advantage

By Kelly Borukhovich and Tyler Morton Approximate reading time: 11 minutes Abstract: The DCGS Next Generation (DCGS Next Gen) delivers

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Supply Chain Competition and All-Effects Warfare: Achieving Strategic Advantage (Part 2 of 2)

Executive Summary: Our previous article on supply chain competition and warfare explained how political, economic, and security issues unleash and restrain strategies of competitive advantage. China is waging all-effects warfare. Meanwhile, democratic states and the US compete with a self-imposed disadvantage: inferior operating strategy at the strategic level of significance. How can we compete and when necessary, wage superior complex warfare in kind?

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Supply Chain Competition and All-Effects Warfare: Fundamentals of Strategic Advantage (Part 1 of 2)

Executive Summary: In the hands of authoritarian powers, supply chains are systematically weaponized into broad warfare that subsumes democracies’ traditionally narrow military approach. This series analyzes supply chain competition, warfare, and strategy in two parts. Part I discusses fundamentals that set strategic parameters for achieving an “all-effects” advantage: globalization and protectionism; strategies of national security; incentives and risks; and political and technological change. This broad perspective on competition and warfare is necessary to implement the cooperative and confrontational competition prescribed in the US National Security Strategy. Part II identifies decisions and makes recommendations to combine superior “all-effects” using diplomatic, informational, military, economic, and social instruments of power. This integrative perspective is necessary to synergize strategic advantages derived from the US National Defense Strategy and sixteen other national security-related strategies.

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Cognitive Electronic Warfare: A Move Towards EMS Maneuver Warfare

In multi-domain operations (MDO), control of the electromagnetic spectrum is of paramount importance. By leveraging machine learning technologies coupled to advanced Electronic Warfare techniques, a key first step will be taken in enabling maneuver warfare within the spectrum.

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Dust

Science Fiction has always been a vehicle to the future. In the modern era of conversations about complexity, AI, human machine interfaces, and other exotic ideas, the genre can provide a way to stitch things together. We can take all of these disparate developments, operating concepts, and fuzzy ideas and combine them the same way our ancestors made sense of the word: with a story. At the strategic level, the two nations in conflict here have taken a markedly different approach to developing today’s technological trends. The enemy nation of Donovia has invested heavily in autonomous systems and artificial intelligence (AI), taking a bet that they can teach and grow better algorithms. Christopherson’s side, however, has taken a more balanced approach to integrating AI and autonomy by preserving man-on-the-loop for action and keeping their strategic level AI providing intelligence fusion. Different strategies will influence the future of technology development, but more importantly strategy will dictate how we use those technologies.

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Human-led Machine Learning & Advanced Threats: Case Method Inquiry and Visual Analytics Applied to COVID-19

In a pervasive and complex information environment, analytics are vital to understanding advanced threats. As we rely more on machine-learnt results, asking the right questions and visualizing deep analysis are key to grasping and solving problems. These skills are also vital 21st century leadership tools that can forge a common focus among otherwise stove-piped specialists.

The COVID-19 pandemic presents an urgent threat that requires both scientific understanding and decisive leadership. The cause of the disease is SARS CoV-2, a mutating virus that thrives in conditions difficult to control at scale. To counter this threat, this article demonstrates in detail the potential of human-led case method and machine-provided visual analytics.

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Joint All Domain Effects Convergence: Evolving C2 Teams

 By: Ernest Nisperos Approximate Reading Time: 25 Minutes Abstract This paper aims to generate a tangible construct to complement the

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Artificial Intelligence in the Operational Information Environment: The Need for Proactive Doctrine

Joint operations doctrine omits the agency of artificial intelligence (AI) in the operational information environment, which is a problem. This commentary discusses why, and recommends effective changes. Key points are as follows. AI is becoming an autonomous cause of unanticipated effects. Humans are not the most effectively intelligent actors in all environments, yet our doctrine draws lessons from the past rather than anticipating emergent futures. Machines currently excel in experience-based learning and can discover relationships in data that we cannot discern. Humans can intuit, deceive, somewhat control, and manufacture and destroy machines. In time, AI will be able to perform those cognitive, informational and physical functions as well. As out-thought becomes out-fought, we need proactive doctrine now.

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Information War is the Continuation of Politics by Other Memes: Information, Disinformation, and Social Media as Weapons

The article will analyze how Russia is using social media to generate and spread disinformation to distort facts and divide the US government and society.

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Artificial Intelligence: A Non-State Actor’s New Best Friend

An AI application that is being overlooked in the defense community is the potential for non-state actors to use AI to expand their capabilities at a low-cost.

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Is Air Force Doctrine Stuck on Artificial Intelligence?

Similar to escorting bombers in WWII, AI could be the paradigm shift the Air Force seeks in a 21st Century Fight. However, traditional mindsets have forced the service into a doctrinal rut, preventing the Service from maximizing this critical capability.

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Observations on the Pursuit of Artificial Intelligence in the DoD

By: Ryan Hilger Reading Time: 9 Minutes In May 2018, President Donald Trump, following several years of fretting over Russian

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The Cyber (EMS) Offset

Cognitive computing may have significant implications for future cyber and multi-domain operations.

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Duelling Algorithms: Using Artificial Intelligence in Warfighting

Examining the dichotomy of AI employment in warfare-“Do things better?” or “Do better things?”-and other implementation challenges.

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DROP ZONE: A CAUTIONARY TALE FOR FIFTH GENERATION WARFARE

OTH takes a deeper look at some challenges and rhetoric surrounding “5th Generation Warfare.”

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