Israel’s Operation Against Hamas Was the World’s First AI War

An IDF tank takes part in military drills as part of the “Tnufa” multi-year plan. (photo credit: IDF)
An IDF tank takes part in military drills as part of the “Tnufa” multi-year plan. (photo credit: IDF)

Having relied heavily on machine learning, the Israeli military is calling Operation Guardian of the Walls the first artificial-intelligence war.
“For the first time, artificial intelligence was a key component and power multiplier in fighting the enemy,” an IDF Intelligence Corps senior officer said. “This is a first-of-its-kind campaign for the IDF. We implemented new methods of operation and used technological developments that were a force multiplier for the entire IDF.”
In 11 days of fighting in the Gaza Strip, the Israeli military carried out intensive strikes against Hamas and Palestinian Islamic Jihad targets. It targeted key infrastructure and personnel belonging to the two groups, the IDF said.
While the military relied on what was already available on the civilian market and adapted it for military purposes – in the years prior to the fighting – the IDF established an advanced AI technological platform that centralized all data on terrorist groups in the Gaza Strip onto one system that enabled the analysis and extraction of the intelligence.
Soldiers in Unit 8200, an Intelligence Corps elite unit, pioneered algorithms and code that led to several new programs called “Alchemist,” “Gospel” and “Depth of Wisdom,” which were developed and used during the fighting.
Collecting data using signal intelligence (SIGINT), visual intelligence (VISINT), human intelligence (HUMINT), geographical intelligence (GEOINT) and more, the IDF has mountains of raw data that must be combed through to find the key pieces necessary to carry out a strike.
“Gospel” used AI to generate recommendations for troops in the research division of Military Intelligence, which used them to produce quality targets and then passed them on to the IAF to strike.

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Source: Jerusalem Post