War machines can run amok with AI in control
AIs not only make life-and-death targeting decisions on the battlefield, but also involve humans in only some stages of the decision-making process. To illustrate how that happens and prompt greater scrutiny of model-enabled killing, Airwars, a not-for-profit transparency watchdog, has published a detailed report, taking apart the ways machine learning powers modern warfare.
The investigation, titled Anatomy of an AI Kill Chain, offers a visual guide through a fictitious kill chain – the steps real militaries go through to identify targets and eliminate them, with an emphasis on decisions delegated to AI.
Authors Sophia Goodfriend, Heidy Khlaaf, Namir Shabibi, Joe Dyke, and Nathan Walker cover six stages: the decision support systems used to assist data gathering, surveillance technology, intelligence and identification, target selection, strikes on targets, and post-strike assessments.
The report notes, "A recent book about US military AI revealed that in some operations only two of the six...
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