At this point, we need to clarify why we’re also talking about an anti-fascist approach to AI. In part, it’s because fascism never really went away, something that’s clearer every day with the rise of fascist-influenced political parties in…Being alert to this possibility means having some idea about fascist ideology and the conditions under which it tends to thrive. In terms of ideology, we can refer to a widely used, if somewhat condensed, summary of fascism that describes i…
Andreas Malm
other · 2 mentions across 1 reading
In this course
Andreas Malm appears to ground the course's anti-fascist framework for thinking about AI by establishing how fascist ideology—understood as palingenetic ultranationalism—creates conditions where algorithmic systems can be conscripted into authoritarian projects. The readings invoke Malm to argue that vigilance against fascism in tech requires understanding both historical fascist patterns and contemporary political resurgence, suggesting that critical AI studies cannot remain neutral to these threats. His work enables the seminar to articulate why architectural choices in machine learning systems are inseparable from questions of political ideology and power.
Mentioned in 1 reading
Appears alongside
People mentioned in the same passages — sorted by co-occurrence weight.