Source: https://carrier-bag.net/path/prestigious-example-light
Date: 11 Feb 2026 19:27

#politics

My argument, then, is quite simple. The embrace of algorithmic warfare, in Israel and elsewhere is enabled as much by technological innovations in killing as it is by particular political developments: the renaissance of far-right populism and militarism. The ideology looks different depending on one’s vantage point, but an exaltation of closed borders and fortified homelands binds the disparate pieces together. As does the belief that more data and better algorithms will shore up national security. In practice, however, it simply allows deadly wars to drag on.

In response to Hamas’ bloody attack, Israeli politicians promised to exact vengeance. The Air Force attacked 1,500 targets in Gaza in the first 48 hours of war. However Prime Minister Benjamin Netanyahu demanded more. According to the Israeli daily Yedioth Ahronoth, Netanyahu erupted in anger in a closed cabinet meeting on October 9th. “Why not 5,000?”, he demanded of the IDF’s Chief of Staff, Herzi Halevi. “We don't have 5,000 approved targets,” Hertzi Halevi replied. “I’m not interested in targets,” Netanyahu responded. “Take down houses, bomb with everything you have” (Nahmun 2025).

AI-assisted targeting systems may have allowed the military to target and kill at an unprecedented scale, as international media outlets have reported. However attention to developments on the ground evidences how all the violence was the result of concerted decisions: a prime minister ordering a campaign of destruction and a military echelon eager to heed his demands.

The army met their demands. In 2019 Aviv Kochavi became chief of staff of the IDF. In his entry speech, he pledged to make the army into a “lethal, innovative and efficient fighting force”, appealing to a fractured Israeli populace (Levy 2021). For the center left, the words “innovative and efficient” tugged at a fantasy of a humane occupation, one effectively managed but never fully resolved by successive innovations in surveillance and killing. For the right, however, “lethal” carried a different power. It evoked a military that sees killing as the principle metric of military success.

The future lies in recognizing what our machines have finally made visible, and what has perhaps always been there: the socio-political nature of our seemingly natural thoughts and perceptions. Every market crash, every sub-prime mortgage event, reveals the social constructedness and the work—aesthetic, political, economic—it takes to maintain our belief in markets as forces of nature or divinity. And if it is not aesthetically smoothed over through media and narratives of inevitability, they also make it possible to recognize how our machines have linked so many of us together in precarity. The potential politics of these moments has not yet been realized, but there have been efforts, whether in Occupy, or more recently in movements for civil rights, racial equity, and environmental justice such as Black Lives Matter or the Chilean anti-austerity protests of 2019 (to name a few).

For the data and computer sciences, which see themselves as technical disciplines, this is a fundamental dilemma that cannot be solved analytically. Not even by rejecting guard rails entirely. Taking historical data as an unproblematic representation of reality (‘ground truth’) is highly problematic. Every historian knows these problems with archival records. They never speak simply truth but contain the perspectives of their makers. Using data without guardrails would not be any more objective, rather it would mean to automate and thus perpetuate historically evolved forms of privilege and marginalization. This highlights again that we need to apply the aesthetic/normative criteria to understanding these images, which makes them invariably political. For the far right, however, the performative rejection of such guard rails, serves a double purpose. First, by reproducing past discrimination and presenting it as high-tech future, it smoothly aligns with reactionary modernism. Second, by transposing politics to a field of assumed technical objectivity (math never lies!), it renders it nontransparent and beyond question.

Your path through #politics

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