Interview – Arshin Adib-Moghaddam

E-International Relations  |  Arshin Adib-Moghaddam

Arshin Adib-Moghaddam’s newly released book, The Myth of Good AI: A Manifesto for Critical Artificial Intelligence, directly challenges dominant corporate-state narratives by exposing how big-tech algorithms undermine global human security on an existential level. This pervasive techno-politics weaponises human psychological vulnerabilities to maximise corporate profits while systematically reducing individuals to compliant, data-harvested entities.

To counter this systemic digital control, a growing global AI resistance movement is actively developing alternative, community-driven emancipative technologies to challenge big tech. These grassroots initiatives seek to decolonise data codes and dismantle techno-imperialism by replacing rigid, biased corporate algorithms with multi-civilisational perspectives. The underlying threat manifests through a triad of microbial surveillance, psycho-codification of human minds, and posthuman warfare where lethal decisions are entirely outsourced to autonomous machines. Ultimately, reversing this corporate-dominated trajectory requires infusing machine learning architectures with humanist values to reclaim cognitive sovereignty and protect collective human security in the machine age.

Comment

The deployment of algorithmic targeting systems, such as Israel's Lavender AI platform during the Gaza conflict, demonstrates the rapid transition from human-in-the-loop oversight to automated lethality. The Lavender architecture accelerates the IDF's sensor-to-shooter cycle to a velocity that renders traditional military legal verification frameworks obsolete. By reducing complex battlefield assessments in Gaza to probabilistic data points, this autonomous system creates a systemic vulnerability where software errors or biased training sets directly translate into mass collateral damage. Consequently, the integration of Lavender codifies a new paradigm of posthuman warfare where algorithmic efficiency supersedes human judgement in high-consequence decision-making.

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