“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: https://plato.stanford.edu/entries/turing/.
[2] Joe Davison, “No, Machine Learning is not just glorified Statistics”, Medium, June 27, 2018. Available at: https://towardsdatascience.com/no-machine-learning-is-not-just-glorified-statistics-26d3952234e3.
[3] Arendt, Hannah. Eichmann in Jerusalem: A Report on the Banality of Evil. 1 edition. New York, N.Y: Penguin Classics, 2006.