AI Bibliography
AI Bibliography |
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Jensen, B. M., Whyte, C., & Cuomo, S. (2022). Information in war: Military innovation, battle networks, and the future of artificial intelligence. Georgetown University Press. |
| Resource type: Book BibTeX citation key: Jensen2022 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Complexity Science, Data Sciences, Decision Theory, Engineering, Ethics, General, Geopolitical, Innovation, Military Science Subcategories: Advanced wargaming, Autonomous systems, Big data, China, Cyber, Decision making, Deep learning, Doctrine, Drones, Edge AI, JADC2, Machine learning, Military research, NATO, Networked forces, Psychology of human-AI interaction, Robotics, Strategy, Systems theory, United States Creators: Cuomo, Jensen, Whyte Publisher: Georgetown University Press Collection: |
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An in-depth assessment of innovations in military information technology informs hypothetical outcomes for artificial intelligence adaptations In the coming decades, artificial intelligence (AI) could revolutionize the way humans wage war. The military organizations that best innovate and adapt to this AI revolution will likely gain significant advantages over their rivals. To this end, great powers such as the United States, China, and Russia are already investing in novel sensing, reasoning, and learning technologies that will alter how militaries plan and fight. The resulting transformation could fundamentally change the character of war. In Information in War, Benjamin Jensen, Christopher Whyte, and Scott Cuomo provide a deeper understanding of the AI revolution by exploring the relationship between information, organizational dynamics, and military power. The authors analyze how militaries adjust to new information communication technology historically to identify opportunities, risks, and obstacles that will almost certainly confront modern defense organizations as they pursue AI pathways to the future. Information in War builds on these historical cases to frame four alternative future scenarios exploring what the AI revolution could look like in the US military by 2040.
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