Hi, thanks for reading/engaging!
26.01.2026 22:03
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Hi, thanks for reading/engaging!
Great interview of @lucyavraamidou.bsky.social in Greek Cypriot newspaper titled:
Οι μεγάλες εταιρείες ΑΙ αποτελούν ένα σύγχρονο παράδειγμα τεχνοφασισμού και συγκεντρωτισμού
The big AI companies are a modern example of technofascism and centralisation
www.philenews.com/politismos/p...
Coming out of 3 week migraine (status migrainosus, look it up) & seeing my work — w/ @marentierra.bsky.social @irisvanrooij.bsky.social @altibel.bsky.social @jedbrown.org @felienne.bsky.social @lucyavraamidou.bsky.social — in Rolling Stone. Guess I shouldn't be as depressed anymore based on facts 😌
🤣
Critical AI Literacy Symposium, with Dagmar Monett, @lucyavraamidou.bsky.social & Miquel Pérez Torres, Linda Mannila, and @olivia.science
🎬 Video recording: www.youtube.com/watch?v=Fxyg...
📢 Symposium website: www.ru.nl/en/about-us/...
🤔 Critical AI Literacy website: www.ru.nl/en/research/...
Great piece, thank you!
Getting close to 50k views and I'm wondering is it just everybody is scared to say this and pleased I did? Because if there's so many of us who agree, trust me I'd know if 1k people disagreed with me let alone 50k, why are we letting AI ruin our universities?
Together we can turn back the tide.
Can you all explain yourselves what the actual f is 23k views and about half as many downloads on a preprint right now come off it 🥺
Abstract: Under the banner of progress, products have been uncritically adopted or even imposed on users — in past centuries with tobacco and combustion engines, and in the 21st with social media. For these collective blunders, we now regret our involvement or apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not considered a valid position to reject AI technologies in our teaching and research. This is why in June 2025, we co-authored an Open Letter calling on our employers to reverse and rethink their stance on uncritically adopting AI technologies. In this position piece, we expound on why universities must take their role seriously toa) counter the technology industry’s marketing, hype, and harm; and to b) safeguard higher education, critical thinking, expertise, academic freedom, and scientific integrity. We include pointers to relevant work to further inform our colleagues.
Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI (black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf. Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al. 2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA).
Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe.
Protecting the Ecosystem of Human Knowledge: Five Principles
Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia:
doi.org/10.5281/zeno...
We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical
thinking, expertise, academic freedom, & scientific integrity.
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