“The lesson of the current wave of 'artificial' 'intelligence', I feel, is that intelligence is a poor thing when it is imagined by corporations. If your view of the world is one in which profit maximisation is the king of virtues, and all things shall be held to the standard of shareholder value, then of course your artistic, imaginative, aesthetic and emotional expressions will be woefully impoverished. We deserve better from the tools we use, the media we consume and the communities we live within, and we will only get what we deserve when we are capable of participating in them fully. And don’t be intimidated by them either – they’re really not that complicated. As the science-fiction legend Ursula K Le Guin wrote: 'Technology is what we can learn to do'”[2] — @jamesbridle Rather than engaging in brute force calculations, and accepting algorithms as agents of disempowerment, or as recapitulations of older colonial technologies, “Algorithmic Sabotage” starts from the twin pillars of feminist and decolonial standpoints, functioning as an ethical add-on that mobilises its capacity to act as a counter-power, fully contributing to the techno-political procedures of radicalisation for the development of strategies, aesthetics and prefigurative practices of resistance, agency and refusal as a corrective to the aggressive abstraction of #AI, whose opacity and indifference to causality reinforce social inequality, perpetuate prejudice and unjust discrimination, to the point of enabling algorithmic apartheid. --- [1] Jahić, S. (2023) No to AI, yes to a non-fascist apparatus. Available at: . [2] Bridle, J. (2023) The stupidity of ai, The Guardian. Available at: . image
“If a machine is expected to be infallible, it cannot also be intelligent.”[1] — Alan Turing “When you’re fundraising, it’s Artificial Intelligence. When you’re hiring, it’s Machine Learning. When you’re implementing, it’s logistic regression.”[2] — Joe Davidson While #AI produces thoughtlessness, in the sense that political philosopher Hannah Arendt meant when interpreting the actions of Nazi war criminal Adolf Eichmann[3]; the inability to critique instructions, the lack of reflection on consequences, a commitment to the belief that a correct ordering is being carried out, “Algorithmic Sabotage” is intensified by the new forms of machinic knowing and the nascent becoming of an anti-worker and anti-community computational complex, making necessary a restructuring that reorients the focus from the miasma of AI and its concomitant toxic algorithmic operations of optimisation to developing techniques for redistributing social power, starting from a feminist standpoint and progress towards the implementation of prefigurative strategies of resistance, agency and refusal, to inhibit, slow down or reverse the emergence of harmful racialized practices of exteriorization and exclusion driven by algorithms. --- [1] Hodges, A. (2013) Alan Turing, Stanford Encyclopedia of Philosophy. Available at: . [2] Joe Davison, “No, Machine Learning is not just glorified Statistics”, Medium, June 27, 2018. Available at: . [3] Arendt, Hannah. Eichmann in Jerusalem: A Report on the Banality of Evil. 1 edition. New York, N.Y: Penguin Classics, 2006. image
“We want to ask the right questions. How do the tools work? Who finances and builds them, and how are they used? Whom do they enrich, and whom do they impoverish? What futures do they make feasible, and which ones do they foreclose? We’re not looking for answers. We’re looking for logic.” — Logic Magazine manifesto [1] “To make machines look intelligent it was necessary that the sources of their power, the labor force which surrounded and ran them, be rendered invisible.” — Simon Schaffer [2] Drawing on a long historical pedigree of political struggle against injustice, authoritarianism and top-down technological transformation, and by recovering tactical lessons and a sense of militancy committed to the common good from the time of the Luddites, “Algorithmic Sabotage” represents a radical, prefigurative techno-political praxis of resistance, agency and refusal that seeks to transcend the deep-seated necropolitical tendencies, predictive interventions, thoughtless optimisations, increasing flows of fascist affordances and the violence of solutionism that #AI implements through an atmosphere of algorithmic paranoia in every aspect of social infrastructure, confirming the dystopian potentials of machine intelligence. --- [1] “Disruption: A Manifesto,” Logic Magazine, no. 1 (March 2017). Available at: . [2] Simon Schaffer, “Babbage’s Intelligence: Calculating Engines and the Factory System,” Critical Inquiry, vol. 21, no. 1 (1994). image