Pandaemonium Architecture 6.0

In this course

Gebru is a critical AI ethics researcher known for examining how machine learning systems encode bias and reproduce social harms through their training data and deployment contexts. Her work (co-authored with Torres) interrogates the ideological foundations of AGI development, particularly the "TESCREAL bundle"—tracing how eugenic thinking and utopian fantasies underpin contemporary AI hype and drive unsustainable resource consumption. In this course's frame, she represents a crucial counterweight to techno-optimism, offering systematic critique of both the technical mechanisms and the historical-philosophical premises that shape AI systems' social effects.

Mentioned in 2 readings

Timnit Gebru and Emile P. Torres

The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence

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The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence by Timnit Gebru and Émile P. Torres Abstract The stated goal of many organizations in the field of artificial intelligence (AI) is to develop a…Recently, however, there has been a proliferation of organizations aiming to build AGI and asserting that their products are close to achieving it (Bubeck, et al., 2023; Cuthbertson, 2022). While a number of researchers have debated whether…The AGI race fueled by the TESCREAList goal to build “transhuman minds” (Goertzel, 2010) and bring about “unlimited intelligence” has also resulted in systems that consume more and more resources in terms of data and compute power. This lea…

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Dan McQuillan

from Resisting AI, an Anti-fascist Approach to Artificial Intelligence

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Of all the entanglements between AI and society, perhaps the easiest to grasp is its dependency on data and the way that it might pick up unwanted patterns. There are many ways in which the training data can distort the outcomes of a machin…

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