Exciting details .. This is how artificial intelligence participated in the Lebanon war!

The “Al -Khadad” website, which is concerned with strategic studies, published a new report in which he spoke about the role that artificial intelligence played during the recent Israel war against Lebanon.

The report says that “the battlefield turned into an integrated system of data collection, human classification and structures, and the generation of strikes industrially,” noting that “speed and quantity have been adopted as two customers to succeed at the expense of human assurance and legal discrimination. This transformation threatens regional security and raises serious ethical and legal problems that must be faced at a strategic and practical level.”
The report explains how the process of artificial intelligence systems in the war on Lebanon, and says: “The backbone of this transformation is the integration of multiple platforms:
– Lavender’s classification systems: a recommendation system that gives each person the possibility of (1100) as an armed, and turns the bell threshold into a recommendation recommendation. During a previous war, it was used to produce large lists of goals, the same logic that was applied against targets in Lebanon to define officials and detonate points that represent a security value.
– Structural platforms “Habsura/Bible”: It analyzes satellite images and planes to generate structural goals – from stores to residential towers – and proposes them as practical goals. This analysis allowed the expansion of the concept of “military target” to include civil facilities.
– The timing of the strikes “Where is my father?”
– Biometric surveillance networks – “Wolf” systems: cameras and loading systems that feed huge databases, so each individual turns into a “digital imprint” that can be searched and connected through the social intelligence networks.
– The bombing factories – “Fire Factory” and automated planning systems: targeting recommendations turned into tactical plans (the amount of ammunition, aircraft schedule, the method of implementation) in minutes instead of hours. This chronological abbreviation is actually pressing for human security reviews.
The report pointed out that “as a result of the integration of these systems, the fast -paced war, high -density, was widely repetitive, but also less discriminatory and more vulnerable to destructive mass mistakes.”
The report talked about specific effects on the battle against Lebanon, namely:
– The bank’s expansion and the decline in discrimination: What was considered to be leadership elements or specific goals that expanded to thousands of names and built under the threshold of “possibility”, which led to an increase in pre -emptive strikes and accurate assassinations that have not always taken into account the conditions of civil space.
Weakening the role of human review: brief reviews (a few seconds) about the recommendations of artificial intelligence transforms the “human and machine” team into a formal seal, which raises the responsibility of collective error and reduces moral accountability.
Psychological and cognitive warfare: Besides material strikes, artificial intelligence tools are used for deep counterfeiting, analysis of feelings and directing specialized messages aimed at weakening the morale or creating internal division – which turns the media scene into a second fighting front.
– Rising statistical errors: adopting the criteria for accepting a “error margin” statistical (for example accepting an error rate ~ 10% as acceptable expenditures) makes civil losses “cost” acceptable within the budget of operations, which is a dangerous moral and legal transformation.
In conclusion, the report touched on steps for digital protection, and explained it as follows:
Reducing the electronic fingerprint: Avoid sharing personal information, photos, geographical sites via the Internet or unreliable applications.
– Smart devices management: disrupting the location feature (GPS) except when the maximum need, and avoiding the phones to the sensitive places or gatherings.
Suspicious applications: Refrain from downloading unknown applications that may collect data and send them to hostile servers.
Changing the digital routine: using safe networks, changing passwords periodically, and not using general accounts for private correspondence.
Awareness of cameras: Suppose that there is continuous monitoring through the drones and smart cameras, and avoiding the movements or gatherings that may be interpreted militarily.
Movement Management: Do not always adopt fixed paths for transportation, as repetition facilitates the algorithm systems to identify the style.
Avoid unnecessary gatherings: the less the human density somewhere, the more hard the algorithms will justify it as a “valuable” goal.
Collective awareness: spreading a culture of caution in the use of smartphones and social media, especially among young people.
Avoid disclosing personal or family relationships: algorithms link relationships to determine social networks, which may expand the circle of targeting.
– The compromise of misleading: verifying news and messages before circulating, as the artificial intelligence may be used to produce DeepFake to dismantle societal confidence.