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filister ,

They have hit so many targets that I seriously doubt that they were all legitimate targets.

lnxtx ,
@lnxtx@feddit.nl avatar

But: Nearly half of the Israeli munitions dropped on Gaza are imprecise ‘dumb bombs,’ US intelligence assessment finds

gregorum ,

do they really need AI to target everyone?

snooggums ,
@snooggums@kbin.social avatar

It is an excuse for what they already planned on doing.

BloodSlut ,

the AI is just a sticky note on the wall with the hebrew word for “yes” on it

kittenzrulz123 ,

כן

Send_me_nude_girls , (edited )

I’ve read that topic so often. I start to believe it’s a military ad.

gAlienLifeform OP ,
@gAlienLifeform@lemmy.world avatar

Fair enough, but I think this article is reasonably critical

But critics warn the system is unproven at best — and at worst, providing a technological justification for the killing of thousands of Palestinian civilians.

“It appears to be an attack aimed at maximum devastation of the Gaza Strip,” says Lucy Suchman, an anthropologist and professor emeritus at Lancaster University in England who studies military technology. If the AI system is really working as claimed by Israel’s military, “how do you explain that?” she asks

…

The Israeli military did not respond directly to NPR’s inquiries about the Gospel. In the November 2 post, it said the system allows the military to “produce targets for precise attacks on infrastructures associated with Hamas, while causing great damage to the enemy and minimal harm to those not involved,” according to an unnamed spokesperson.

But critics question whether the Gospel and other associated AI systems are in fact performing as the military claims. Khlaaf notes that artificial intelligence depends entirely on training data to make its decisions.

“The nature of AI systems is to provide outcomes based on statistical and probabilistic inferences and correlations from historical data, and not any type of reasoning, factual evidence, or ‘causation,’” she says. “Given the track record of high error-rates of AI systems, imprecisely and biasedly automating targets is really not far from indiscriminate targeting.”

Some accusations about the Gospel go further. A report by the Israeli publication +972 Magazine and the Hebrew-language outlet Local Call asserts that the system is being used to manufacture targets so that Israeli military forces can continue to bombard Gaza at an enormous rate, punishing the general Palestinian population.

teft ,
@teft@startrek.website avatar

The name of the AI is gospel? How can this possibly go wrong?

SkybreakerEngineer ,

They could have called it Skynet

autotldr Bot ,

This is the best summary I could come up with:

The pace is astonishing: In the wake of the brutal attacks by Hamas-led militants on October 7, Israeli forces have struck more than 22,000 targets inside Gaza, a small strip of land along the Mediterranean coast.

“It appears to be an attack aimed at maximum devastation of the Gaza Strip,” says Lucy Suchman, an anthropologist and professor emeritus at Lancaster University in England who studies military technology.

The list includes things like cell phone messages, satellite imagery, drone footage and even seismic sensors, according to Blaise Misztal, vice president for policy at the Jewish Institute for National Security of America, a group that facilitates military cooperation between Israel and the United States.

In the November 2 post, it said the system allows the military to “produce targets for precise attacks on infrastructures associated with Hamas, while causing great damage to the enemy and minimal harm to those not involved,” according to an unnamed spokesperson.

One in three buildings in Gaza have been damaged or destroyed, according to an independent analysis by Corey Scher of New York’s CUNY Graduate Center and Jamon Van Den Hoek of Oregon State University.

One suite of AI tools, known as Project Maven, is run through the National Geospatial-Intelligence Agency, which collects massive quantities of satellite imagery — far more than a human analyst could search.

The original article contains 1,966 words, the summary contains 220 words. Saved 89%. I’m a bot and I’m open source!

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