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Written by ASRG on 2024-09-06 at 05:58

“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.

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Descendants

Written by Mike Buckley on 2024-09-06 at 08:49

@asrg That is an awfully long sentence. If that’s written by AI, you can count me out. I suspect though, it was written by humans steeped in technology.

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Written by Urban Hermit on 2024-09-06 at 10:24

@asrg when I write something I am always thinking, "does this flow?", " does this make sense?", "is this building to a conclusion and is that conclusion supportable?". I have called it on my resume "making self doubt an asset".

I wonder if the criticality of self doubt is lost on the rich tech bros who are pushing AI as ready. Maybe AI needs a second inner voice that checks for veracity, credibility, logic, before publishing. The inner editor may be critical to intelligence.

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