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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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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How the Air Force Should Test Autonomous Vehicles Part 2

Part 2 of the conclusion to a series on training and developing autonomous wingmen for future aerial combat.

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How the Air Force should Test Autonomous Vehicles Part 1 of 2

In part 1 of a 2-part series conclusion, Nick Helms discusses foundations and processes for testing and training autonomous air vehicles.

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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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Interview with Lieutenant General Jack Shanahan: Part 2

Excerpt: In an interview, Lt Gen Jack Shanahan shares his vision for the role of artificial intelligence and machine learning

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Interview with Lieutenant General Jack Shanahan: Part 1

In an interview, Lt Gen Jack Shanahan shares his insights on the future implications of artificial intelligence and machine learning.

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DROP ZONE: The Rise of the Machines

Although the machines have not taken over, swarms offer a solution to the problem of accessing contested areas and destroying challenging target sets.

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Trust in Autonomy

In this article, we are delving into the concept of trust as it applies to training autonomous air vehicles like human wingmen or co-pilots.

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Airmen’s Definition of Autonomy

This is the second installation in a series addressing the future of autonomous aerial systems training and acquisition.

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Autonomy: The Future of Aerial Combat

Autonomous air vehicles in a combat environment will be more useful if they are capable of adapting effectively to changing human demands.

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