The Israel Defense Forces (IDF) have been using artificial intelligence (AI) to improve targeting of Hamas operatives and facilities.
The IDF’s use of AI and machine learning (ML) tools can help to identify, evaluate and value the objectives.
The IDF goes to great lengths to reduce collateral damage and civilian casualties, and tools like AI and ML can make the targeting process more agile and executable.
The use of AI tools should aid in target identification efforts, speeding up target review and approval, but there will still be people involved in the process, albeit on an accelerated timeline .
That could reduce attrition and speed up campaign execution if executed correctly, Montgomery said.
The IDF has remained at the forefront of integrating military AI, using it primarily for targeting, both for real-time visual targeting of vehicles and target selection from of environmental data.
Every step of the way, the IDF has emphasized the place of human beings in the process of reviewing the final findings: nothing is automated.
Montgomery, who served in the US Navy for three decades and worked for the late Sen. John McCain on the Senate Armed Services Committee, said the IDF primarily uses AI to improve targeting efficiency.
He rejected criticism of the high level of collateral damage the IDF has caused, saying that in an exceptionally dense urban environment, the IDF has made the decision to eliminate Hamas as a terrorist organization, which most North- americans support
Montgomery said the IDF has reduced Hamas’s fighting force from 24 battalions to “more like 14 battalions.”
He emphasized that it is not the AI that is causing excessive collateral damage or civilian casualties, but rather the environment in which they fight, including the use of civilians as shields and the placement of tunnels and war capabilities in the vicinity of hospitals. their adversaries.
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