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12° Nicosia,
18 July, 2024
 
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How Israel's AI system identified 37,000 Hamas targets in Gaza

From human judgment to machine precision

Newsroom

During the recent conflict in Gaza, the Israeli military utilized an undisclosed AI-powered database, known as Lavender, to identify potential targets linked to Hamas.

As reported by The Guardian, this AI system reportedly identified 37,000 targets based on their suspected affiliations with the militant group. Additionally, intelligence sources claim that the Israeli military allowed significant civilian casualties during the early stages of the conflict. The testimonies of six intelligence officers shed light on the use of AI technology in modern warfare, raising legal and moral questions about the ethics of targeting and the role of humans in decision-making processes.

The development of Lavender by Unit 8200, the elite intelligence division of the Israel Defense Forces, marks a significant advancement in military technology. However, its use has sparked controversy, with concerns raised about the high number of civilian casualties resulting from airstrikes on suspected militants. The testimonies highlight the challenges of balancing military objectives with humanitarian considerations in the age of artificial intelligence.

The IDF has defended its operations, stating that they comply with international law and prioritize precision targeting. However, the testimonies suggest a more relaxed approach to civilian casualties, with pre-authorized allowances for the number of civilians that could be killed in strikes on low-ranking militants. This raises questions about the proportionality of the IDF's tactics and the extent to which AI systems influence decision-making on the battlefield.

As the conflict in Gaza continues to draw international attention, the revelations about the Israeli military's use of AI technology underscore the evolving nature of modern warfare and the ethical dilemmas it presents.

[With information sourced from The Guardian]

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Cyprus  |  AI  |  Israel

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