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  So nice to see this out! @Iris@scholar.social > The five core principles – honesty, Scrupulousness, transparency, independence and responsibility – remain unchanged. https://www.nwo.nl/en/news/revision-of-netherlands-code-of-conduct-for-research-integrity-ngwi Image from: https://doi.org/10.5281/zenodo.20082828

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  Open Letter: Stop the Uncritical Adoption of AI Technologies in Academia It's been a year & people tell me they've changed their mind, feel safer now to sign, etc. So I'm sharing it again for them. We're almost at 2k & anybody from anywhere can add their names. https://openletter.earth/open-letter-stop-the-uncritical-adoption-of-ai-technologies-in-academia-b65bba1e?limit=0

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  There are more openly anti AI women than men, so if you see manels (panels of all men) or events where there are very few or no women involved on the academic speaking side (not in the organisation/teaching), it's safe to conclude that there is something very strange afoot to say the least. https://olivia.science/cryptogyny 1/n

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  OK, it's honestly very distressing and worrying and I have ADHD, so I wrote it all down to get it out of my head https://olivia.science/entryism/ Enjoy, I guess... > Now that being against AI in an informed way is becoming mainstream, we need to be aware of entryism: the long-term strategy deployed by pro AI people or entities, like companies, to subvert such movements. 1/n

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  New preprint! So honoured to have worked with Ishani Ray on providing vital critique on "AI literacy" & correctives for those interested in understanding why "just use the newest version of an LLM" is nonsense Contra Literacy-Laundering: Mechanistic Critical AI Literacy https://doi.org/10.5281/zenodo.21222978 1/

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  As somebody else (Kirsten the Librarian) said on the other website, this could be a nice way to address some of the cryprogyny, see: https://scholar.social/@olivia/116234574757735306

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  Short piece with @andrea and @Iris that aims to address errors on our understanding of the role of scientific models. This is deeply related also to AI misuse seen everywhere not just psychology, as we explain: On Models, Prediction, and Scientific Roles Thereof: Commentary on Sanbonmatsu et al. (2025) https://doi.org/10.5281/zenodo.19983695

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  We end on "Machine Yearning for a Better Present" because why can't we dream? Why accept that universities are not places of learning? Nothing, except industry and their paid shills amongst us, force us to accept this & this force is not one of reason, but one of regressive values & profit. https://doi.org/10.5281/zenodo.17065099 10/n

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  6. the extremely unhinged series of claims that without training them on how to be users of such systems that we somehow fail as teachers — truly ludicrous, utterly bizarre, and in fact directly contradicts other industry selling points. (Section 3.6 here https://doi.org/10.5281/zenodo.17065099) 8/n

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  Thank you to all who did the translating of our Open Letter: Stop the Uncritical Adoption of AI Technologies in Academia — can't believe we have: Brazilian Portuguese, Dutch, French, German, Italian, Spanish 💥‼️ ✍️ sign here: https://openletter.earth/open-letter-stop-the-uncritical-adoption-of-ai-technologies-in-academia-b65bba1e?limit=0 🌏 all languages here: https://olivia.science/ai/#activism

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  Preprinted! Been working on this for ~1 year w wonderful coauthors Nancy & Mark: > Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism https://doi.org/10.5281/zenodo.20071869 Have you noticed many experts say they don't understand AI? What's going on? 🤯 Let us tell you... 1/

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  reminder... > Anybody can ‘win’ a marathon if driven by car. Does that make it a weakness of the marathon race as an endurance event? Or does it reflect a deeper category error on our behalf, like with the misapplication of statistical tests, that an assumption has been violated? https://scholar.social/@olivia/115315373231397050

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  For example not everyone wants to talk to racists or whatever, but sometimes some of us have to. Maybe to deradicalise, maybe to convince them to move the needle on something, like talking to the university executive board to make them cut ties, or other aspects of BDS. 2/

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  @samhforbes and I: > LLMs are labor intensive, are economically infeasible, and pollute the environment, and these properties may outweigh any proposed benefits. For example, poor quality air directly harms human cognition, and thus has compounding effects on educators' and pupils' ability to teach and learn. To Improve Literacy, Improve Equality in Education, Not Large Language Models https://doi.org/10.1111/cogs.70058

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  Touched grass today, but the cool kids were eating it

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  If a guy named Geoffrey Jefferson can figure this out in 1949... "The mind of mechanical man." British Medical Journal https://doi.org/10.1136/bmj.1.4616.1105 1/

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  @androcat @ChrisMayLA6 it's likely they mean the Dutch system, a genuinely horrible system with many private companies offering health insurance and essentially scamming the patient who is now a "customer" and pays out the nose and paperwork is out of control

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  RE: https://scholar.social/@olivia/114937371955556197 Published! What Does ‘Human-Centred AI’ Mean? https://doi.org/10.3390/bs16040583 Thank you to Andy Wills https://www.andywills.info for inviting me to his SI (Advanced Studies in Human-Centred AI) — and furthermore, for being up for me completely disagreeing with so many mainstream views on HCAI! Great reviews too.

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  This is the issue with theoretical work these days. Data isn't collected as means unto itself unless we've lost the point of experiment & observation. Without explicit theory to house data it's meaningless. Duhem-Quine, underdetermination of theory of by data is lost on people. https://olivia.science/theory 1/n

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  RE: https://scholar.social/@olivia/116311635914645389 > The controversy associated with the statement “Ada Lovelace was the first computer programmer” reveals more about modern attitudes towards women [than her] achievements. [Her 1843 algorithm] was so advanced, that it was still utilised in record-breaking computation of Bernoulli numbers in 2008. https://blue-stocking.org.uk/2024/06/14/ada-lovelace-the-first-computer-programmer/

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  For older learners, yes there are important steps to take including self-reflection such as in this work with @abebab — self-critical AI literacy: Birhane, A. & Guest, O. (2021). Towards Decolonising Computational Sciences. Women, Gender & Research. https://doi.org/10.7146/kkf.v29i2.124899 9/

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  The real AI literacy is not to understand any specific maths. https://scholar.social/@olivia/116188565718565127 4/

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  When you feel no shame for being a sellout and destructive towards higher education and writing skills... https://www.ru.nl/en/radboud-into-languages/courses/write-smarter-with-generative-ai

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  All my preprints on OSF are 404ing. If anybody needs that work, please reach out as I want to give them time to address it before we reupload everything. But please email me or coauthors if you need the PDFs. I always assumed DOIs were stable. How strange.

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  The UK has allowed AI slop nonsense to be made into laws... > Writing a law is not something for which there is a technological solution. It is not a perfectible process, it is a moral act that requires belief and responsibility. It is a process of debate. [...] Reading is thinking, and writing is thinking, and thinking is power. And when the inefficiencies of human thought, deliberation and opinion are cleared aside, we are left asking: who is in charge? https://www.newstatesman.com/te...

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  race realists are so insidious... how can he even be getting jobs and not laughed out of the room? > Cofnas is not conducting legitimate academic research into race and intelligence but instead spreading pseudoscience. https://www.brusselstimes.com/2020013/ughent-under-fire-for-hosting-self-proclaimed-race-realist-philosopher also race realism is just a hilarious euphemism for racism, of course 1/

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  RE: https://scholar.social/@olivia/116357032470708831 Loads of chat and even discourse about so-called AI literacy, but I don't think most realise you need to teach things from quite a few angles and zoomed out. If people want to just know how the models work, that's not always possible without a much wider base anyway... Our offering below: 1/n

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  #introduction: My name is Olivia Guest, and I am an assistant professor of computational cognitive science at the Donders institute & the school of Artificial Intelligence at Radboud University. My main research interests are developing and critiquing frameworks, theories, and pre-/post-formal and computational models as used in #cognitiveneuroscience #AI #psychology & #congitivescience generally. For more about me or my work, check out my website (https://oliviaguest.com) or as...

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  Hi all, my "What Makes a Good Theory? Interdisciplinary Perspectives" Lorentz workshop, keynote (https://youtube.com/watch?v=67X0TpnQeO0) paper is finally out — with shamelessly stolen title ‼️ What makes a good theory, and how do we make a theory good? http://psyarxiv.com/8fxds 1/

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  New-ish preprint! Marcela, @Iris, and I have been working on what CAIL means to showcase & propagate the idea of thinking very differently to tech industry norms on "artificial intelligence" Towards Critical Artificial Intelligence Literacies https://doi.org/10.5281/zenodo.17786243 1/