AI Bibliography
AI Bibliography |
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Thorne, J. G. (2020). Warriors and war algorithms: Leveraging artificial intelligence to enable ethical targeting Naval War College Newport United States. |
| Resource type: Report/Documentation BibTeX citation key: Thorne2020 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Computer Science, Decision Theory, Ethics, General, Law, Military Science Subcategories: Command and control, Cyber, Decision making, Doctrine, Edge AI, Human decisionmaking, JADC2, Machine learning, Military research, Mosaic warfare, Networked forces, Psychology of human-AI interaction, Strategy Creators: Thorne Publisher: Naval War College Newport United States Collection: |
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This paper examines how Artificial Intelligence AI is likely to enable the US military to execute its warfighting missions in a more ethical way, and thereby better abide by the moral intent of International Humanitarian Law IHL and highlight where it may introduce challenges. It accomplishes this task by examining two key characteristics of military targeting distinction and proportionality. It then explains how narrow-AI war algorithms have the potential lead to greater jus in bello ethical warfighting. AI can clearly improve warfighters ability to positively identify targets through greater battlespace awareness. It can also help prevent injuries to non-combatants by allowing targeting analysts to more accurately predict the amount of collateral damage a strike may cause by creating a process that yields truly ethically optimal results vice merely settling for satisficing.
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