Pentagon investigators reportedly found that flawed intelligence, rushed targeting procedures, and staff cuts contributed to the attack that killed 123 children
Heavy reliance on artificial intelligence, staff cuts, and rushed targeting procedures contributed to a US missile strike on an Iranian girls’ school in Minab, Bloomberg reported on Friday, citing officials involved in a Pentagon investigation.
On February 28, two Tomahawk missiles hit the Shajarah Tayyebeh Elementary School in southern Iran, killing at least 157 people, including 123 children. The strike took place during the opening wave of US and Israeli attacks across the country. The school stood across from a naval base, which was likely the intended target.
Some US Central Command (CENTCOM) personnel reportedly expected Palantir’s Maven Smart System to flag stale or inconsistent intelligence when selecting potential targets. Previous reports suggested that the military relied on outdated satellite imagery that depicted the school as part of the base.
According to Bloomberg, Maven allowed the process of assembling target lists to be condensed to just several minutes.
A Palantir spokesperson told Bloomberg that the company was “not responsible for the underlying data nor identifying intelligence deficiencies” and that there was no evidence its software was at fault in the Minab strike.
The AI giant has since upgraded Maven to “re-review underlying intelligence to identify factors that would disqualify a target and flag inconsistencies and inaccuracies that human review may have missed,” Bloomberg said, citing a person familiar with the matter.
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