During the early weeks and months of the conflict, almost completely relied on Lavender to mark all suspected operatives in Hamas and PIJ military wings as potential bombing targets.
Israel is using artificial intelligence to help identify bombing targets in Gaza
The Israeli military uses an AI-powered database called Lavender that cross-references intelligence sources and produces up-to-date layers of information on the military operatives of terrorist organizations.
Israel is using artificial intelligence to help identify bombing targets in Gaza, according to a report by 972 Magazine and Local Call. The Israeli military uses an AI-powered database called Lavender that cross-references intelligence sources and produces up-to-date layers of information on the military operatives of terrorist organizations. During the early weeks and months of the conflict, almost completely relied on Lavender to mark all suspected operatives in Hamas and PIJ military wings as potential bombing targets. The Israeli army has developed an artificial intelligence-based program known as Lavender that is used to direct Israel's bombing spree in Gaza. One intelligence officer who used Lavender said they had more faith in a 'statistical mechanism' than a grieving soldier, and lost people on October 7 when the machine did it coldly.
The Israeli military's bombing campaign in Gaza used a previously undisclosed AI-powered database that at one stage identified 37,000 potential targets based on their apparent links to Hamas.
Israeli military officials permitted large numbers of Palestinian civilians to be killed during the early weeks and months of the conflict.
Accuracy
The Israeli use of powerful AI systems in its war on Hamas has entered uncharted territory for advanced warfare, raising a host of legal and moral questions, and transforming the relationship between military personnel and machines.
Deception
(80%)
The article is deceptive in several ways. Firstly, the author claims that Israel used AI to identify 37,000 potential targets based on their apparent links to Hamas. However, this statement is misleading as it implies that all of these targets were identified by the AI system and not just some of them. Secondly, the article quotes an intelligence officer who says they had more faith in a statistical mechanism than a grieving soldier which suggests that human life was not valued in their decision-making process. This is deceptive as it implies that Israel did not care about civilian casualties when using AI to identify targets. Lastly, the author uses quotes from an Israeli publication and two Hebrew language outlets without disclosing this fact or providing any context on why these sources were chosen.
An intelligence officer quoted in the article says they had more faith in a statistical mechanism than a grieving soldier which suggests that human life was not valued in their decision-making process. This statement is deceptive as it implies that Israel did not care about civilian casualties when using AI to identify targets.
The article claims that Israel used AI to identify 37,000 potential targets based on their apparent links to Hamas. However, the author does not provide any evidence to support this claim and it is unclear how many of these targets were actually identified by the AI system.
Fallacies
(85%)
The article contains several fallacies. The first is an appeal to authority when it states that Israeli military officials permitted large numbers of Palestinian civilians to be killed during the early weeks and months of the conflict. This statement implies that this was a legal or moral decision made by these officials, which may not necessarily be true. Additionally, there are several instances where statements from anonymous sources are presented as fact without any context or verification.
The Israeli military's bombing campaign in Gaza used a previously undisclosed AI-powered database that at one stage identified 37,000 potential targets based on their apparent links to Hamas.
Bias
(85%)
The article contains examples of religious bias and monetary bias. The author uses the phrase 'the Israeli military's bombing campaign in Gaza used a previously undisclosed AI-powered database that at one stage identified 37,000 potential targets based on their apparent links to Hamas', which implies that Israel is using advanced technology for warfare and has an advantage over Palestinians. The author also uses the phrase 'Israel's use of powerful AI systems in its war on Hamas has entered uncharted territory for advanced warfare, raising a host of legal and moral questions, and transforming the relationship between military personnel and machines', which implies that Israel is using technology to gain an advantage over Palestinians. The author also uses the phrase 'The machine did it coldly' which implies that Israel is using AI systems to make decisions without human intervention or emotion.
Israel's use of powerful AI systems in its war on Hamas has entered uncharted territory for advanced warfare, raising a host of legal and moral questions, and transforming the relationship between military personnel and machines
the Israeli military's bombing campaign in Gaza used a previously undisclosed AI-powered database
The Israeli army has developed an artificial intelligence-based program known as Lavender.
During the first weeks of the war, almost completely relied on Lavender to mark all suspected operatives in Hamas and Palestinian Islamic Jihad (PIJ) military wings as potential bombing targets.
One intelligence officer who used Lavender said they had more faith in a 'statistical mechanism' than a grieving soldier. They lost people on October 7 when the machine did it coldly.
Accuracy
<br>During the first weeks of the war, almost completely relied on Lavender to mark all suspected operatives in Hamas and Palestinian Islamic Jihad (PIJ) military wings as potential bombing targets.<br>
Israeli military officials permitted large numbers of Palestinian civilians to be killed during the early weeks and months of the conflict.
<br>One intelligence officer who used Lavender said they had more faith in a <strong>'statistical mechanism'</strong> than a grieving soldier. They lost people on October 7 when the machine did it coldly.<br>
Another Lavender user questioned whether humans<strong>' role in the selection process was meaningful.</strong>
Deception
(80%)
The article is deceptive in several ways. Firstly, the author claims that Lavender has played a central role in the unprecedented bombing of Palestinians during the war on Gaza Strip. However, this claim is not supported by any evidence presented in the article.
The sources told 972 Magazine and Local Call that, during the first weeks of the war, Lavender clocked as many as 37,000 Palestinians as suspected militants for possible air strikes.
Fallacies
(80%)
The article contains several fallacies. The author uses an appeal to authority by citing a book written under the pen name of someone who is claimed to be the commander of Israeli intelligence unit 8200. However, there is no evidence provided in the article that supports this claim.
The author claims that “Brigadier General Y.S.” wrote a book titled “The Human-Machine Team: How to Create Synergy Between Human and Artificial Intelligence That Will Revolutionize Our World”, but there is no evidence provided in the article that supports this claim.
The author claims that Lavender has played a central role in the unprecedented bombing of Palestinians during the war on Gaza Strip. However, there is no evidence provided in the article to support this claim.
Bias
(85%)
The article contains examples of religious bias and ideological bias. The author uses language that dehumanizes Palestinians by referring to them as 'suspected militants' and their homes as potential targets for air strikes. This is a clear example of the Israeli army using AI technology to justify violence against an entire population based on suspicion alone.
The Lavender system is designed to mark all suspected operatives in the military wings of Hamas and Palestinian Islamic Jihad (PIJ), including low-ranking ones, as potential bombing targets.
Site
Conflicts
Of
Interest (0%)
The author has multiple conflicts of interest on the topics provided. The article discusses Israel's bombing spree in Gaza and mentions Hamas and Palestinian Islamic Jihad (PIJ), which are both controversial organizations with political agendas. Additionally, the article references Israeli intelligence unit 8200, which is a highly classified organization that has been involved in various controversies. The author also discusses the use of AI in military operations, which raises questions about potential conflicts of interest between the author and companies or individuals with financial ties to the development or deployment of such technology.
The article mentions Israel's bombing spree in Gaza, which is a highly controversial topic. The Israeli government has been accused of human rights violations against Palestinians living in Gaza, and Hamas and Palestinian Islamic Jihad (PIJ) are both organizations with political agendas that may be at odds with Israel's actions.
The article references Israeli intelligence unit 8200, which is a highly classified organization that has been involved in various controversies. The author does not disclose any potential conflicts of interest they may have with the organization or its activities.
Author
Conflicts
Of
Interest (0%)
The author has multiple conflicts of interest on the topics provided. The article discusses Israel's bombing spree in Gaza and mentions Hamas and Palestinian Islamic Jihad (PIJ), which are both controversial organizations with political agendas. Additionally, the article references Israeli intelligence unit 8200, a highly secretive organization that has been involved in various human rights violations. The author also discusses the use of AI in military operations, which raises concerns about potential biases and ethical considerations.
The article mentions Hamas and Palestinian Islamic Jihad (PIJ) as organizations with political agendas.
The Israeli military uses a database whose purpose is to cross-reference intelligence sources, in order to produce up-to-date layers of information on the military operatives of terrorist organizations
Israeli military officials permitted large numbers of Palestinian civilians to be killed during the early weeks and months of the conflict.
During the first weeks of the war, almost completely relied on Lavender to mark all suspected operatives in Hamas and PIJ military wings as potential bombing targets.
Accuracy
Israel is using artificial intelligence to help identify bombing targets in Gaza
The AI-based tool called Lavender has a 10% error rate
Human review of suggested targets was cursory at best and typically devoted only around 20 seconds to each target, ensuring they are male before authorizing a bombing
Deception
(80%)
The article reports that Israel is using artificial intelligence to help identify bombing targets in Gaza. The AI-based tool called Lavender has a 10% error rate and human review of the suggested targets was cursory at best. One official told ⮗2 Magazine that human personnel often served only as a rubber stamp for the machine's decisions, typically devoting around 20 seconds to each target before authorizing a bombing. The article also reports that Israel has been using artificial intelligence heavily in its military campaign with very little human supervision and systematically attacking targets in their homes, usually at night when entire families were present. This is deceptive as it implies that the Israeli army only attacks militants and not civilians, which is false.
One official told ⮗2 Magazine that human personnel often served only as a rubber stamp for the machine's decisions, typically devoting around 20 seconds to each target before authorizing a bombing.
The article reports that Israel uses artificial intelligence to help identify bombing targets in Gaza
The article reports that Israel has been using artificial intelligence heavily in its military campaign with very little human supervision and systematically attacking targets in their homes, usually at night when entire families were present.
Fallacies
(100%)
None Found At Time Of
Publication
Bias
(85%)
The article reports that Israel is using artificial intelligence to help identify bombing targets in Gaza. The AI-based tool called Lavender has a 10% error rate and human review of the suggested targets was cursory at best. One official told ‛972 Magazine‚ that human personnel often served only as a rubber stamp for the machine's decisions, typically devoting around 20 seconds to each target before authorizing a bombing. This is an example of monetary bias as Israel has invested heavily in developing and using AI technology for military purposes.
One official told ‛972 Magazine‚ that human personnel often served only as a rubber stamp for the machine's decisions, typically devoting around 20 seconds to each target before authorizing a bombing.
The Israeli military uses artificial intelligence to help identify bombing targets in Gaza
Israel is accused of deploying untested Artificial Intelligence (AI) systems in Gaza war that have led to mass casualties among civilians.
The Israeli military's bombing campaign in Gaza used a previously undisclosed AI-powered database that at one stage identified 37,000 potential targets based on their apparent links to Hamas.
Accuracy
No Contradictions at Time
Of
Publication
Deception
(80%)
The article contains several examples of deceptive practices. Firstly, the author uses sensationalist language such as 'AI-assisted genocide' to make it seem like Israel is committing a heinous crime when there is no evidence to support this claim. Secondly, the article quotes sources without disclosing them which makes it difficult for readers to verify their claims. Thirdly, the author uses selective reporting by only mentioning incidents where civilians and aid workers were killed but not any instances of Israeli military successes or Palestinian militant attacks that led to these deaths. Lastly, the article contains a statement from a relief group which is presented as fact without providing any evidence to support their claims.
The author uses sensationalist language such as 'AI-assisted genocide' to make it seem like Israel is committing a heinous crime when there is no evidence to support this claim.
The article quotes sources without disclosing them which makes it difficult for readers to verify their claims.
The author uses selective reporting by only mentioning incidents where civilians and aid workers were killed but not any instances of Israeli military successes or Palestinian militant attacks that led to these deaths.
Fallacies
(85%)
The article contains several fallacies. The author uses an appeal to authority by stating that the UN is pausing night-time aid operations in Gaza and calling for Israel to be held accountable for a deadly attack on a food aid convoy. This implies that the UN has some sort of power or influence over Israel, which may not necessarily be true. Additionally, there are several instances where the author uses inflammatory rhetoric by describing the situation in Gaza as
a structure of death and destruction
mass casualties among civilians
Bias
(85%)
The author uses inflammatory language and makes accusations without providing evidence. The use of the word 'genocide' is particularly problematic as it implies intentional mass murder which may not be supported by the facts.
> Israeli military accused of deploying untested Artificial Intelligence (AI) systems in Gaza war that have led to mass casualties among civilians. <br> > The UN is pausing night-time aid operations in Gaza, as calls for Israel to be held accountable for the deadly attack on a food aid convoy continue.
