more here olivia.science/ai#activism

weekly reminder; happy Monday Have you considered NOT using AI?

AI "impedes [theory because we're] interested in human-understandable theory and theory-based models, not statistical models which provide only a representation of the data. Scientific theories and models are only useful if [we understand them and] they connect transparently to research questions."

Statement from the organizers: “We are a group of scholars committed to diversity, critical thinking, decoloniality, respect of expertise, slow science, and conceptual clarity values in academia. We strongly encourage people from underrepresented groups to apply”.

☀️ Summer School 📚 “Critical AI Literacies for Resisting and Reclaiming" Organisers and teachers: 👉 @marentierra.bsky.social 👉 @olivia.science 👉 myself Deadline for application: 🐦 31 March 2026 (early bird fee) 1/🧵 www.ru.nl/en/education...

Looking forward to a relevant discussion with the @compcogsci.bsky.social lab ☺️

📝 Guest, O., Suarez, M., & van Rooij, I. (2025). Towards Critical Artificial Intelligence Literacies. Zenodo. doi.org/10.5281/zeno... ✨ Thread with my favourite quotes 👇 1/🧵

Dimension 2: CRITICAL THINKING 🤔 “Critical Thinking is deep engagement with the relationships between statements about the world.” Guest, Suarez, & van Rooij (2025). Towards Critical Artificial Intelligence Literacies. doi.org/10.5281/zeno... 12/🧵

Mark Blokpoel & I have maintain a living open interactive textbook “Theoretical Modeling for Cognitive Science and Psychology.” Recently, Mark updated Ch 9 & 10 so they have embedded, running and editable, code again. Check it out! ✨ computationalcognitivescience.github.io/lovelace/

"Great man theorising requires the (re)orientation of the theory to direct all credit to one person (or a biased subset of a select few) reminiscent of monarchy—far from the pluralistic or meritocratic facade science often hides behind" doi.org/10.1007/s421...

Ich beende den Thread aber mit etwas Positivem. In diesem Preprint wird diskutiert, wie KI im Bereich Psychologie unterstützen kann: 📄 van Rooij, I., & Guest, O. (2025). Combining Psychology with Artificial Intelligence: What could possibly go wrong? 🔗 philpapers.org/rec/VANCPW

Relevant reading 1 📖 ✨ Guest, O. Suarez, M., et al. (2025). Against the Uncritical Adoption of 'AI' Technologies in Academia. doi.org/10.5281/zeno... By @olivia.science @marentierra.bsky.social @altibel.bsky.social @lucyavraamidou.bsky.social @jedbrown.org @felienne.bsky.social, me & others 4/🧵

In our position paper we looked at how the core principles of the Netherlands Code of Conduct for #ResearchIntegrity applies to AI usage. @olivia.science @irisvanrooij.bsky.social @jedbrown.org @marentierra.bsky.social @lucyavraamidou.bsky.social @felienne.bsky.social doi.org/10.5281/zeno...

✨ Summer School: Critical AI Literacies for Resisting and Reclaiming 📚 👉 For many more relevant resources for Critical AI literacy, check out this website maintained by @olivia.science with videos, news, opinion pieces, blogs, articles, posters, and more. 👇 olivia.science/ai 6/🧵

Relevant reading 2 📖 ✨ Guest, O., Suarez, M., & van Rooij, I. Zenodo. Towards Critical Artificial Intelligence Literacies. Zenodo. doi.org/10.5281/zeno... By @olivia.science @marentierra.bsky.social and me. 5/🧵

Interested in discussing how Artificial Intelligence can be helpful or hurtful to academia? 🤖 As a newly minted UKRN (@ukrepro.bsky.social) Local Network Lead, I'm co-organizing a hybrid event about this next Friday (30th January) Join us at @livunipsyc.bsky.social or online via Teams!

From the moment we know a technology steals/obfuscates people's labour to perform task X, it matters 0 how effective the people's labour you steal to do X is. They will likely get better at X over time and you will get better at stealing. Nothing of this justifies the theft. bsky.app/profile/oliv...

I spent the whole day to read 'What Does 'Human-Centred AI' Mean?' titled paper by @olivia.science. I sincerely think that it is the best paper I've ever read. Worth of time and highly recommended!

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...

Monthly reminder

PhD here answering the call. Resist the slop!! eternalscientistmusings.wordpress.com/2025/12/03/r...

Do you want to be able to demystify AI and recognize hyped claims? Do you worry about the social and environmental harms of AI? Do you struggle with how to protect and foster your students’ skills in the age of AI? Do you want to develop your own skills in resisting AI and critical AI literacy? 2/🧵

☀️ 📚 Summer School open for applications! www.ru.nl/en/education... "This course is designed to foster critical AI literacies in participants to empower them to develop ways of resisting or reclaiming AI in their own practices & social context” Learning goals 👇 3/🧵

Read this article! Truly important considerations!!

When the rejection of AI includes AI researchers, you know that the phrases "adapt or die, Luddite" don't work.

excellent stuff, also if you need more or at a uni-level bsky.app/profile/oliv...

Enjoyed writing this short but sweet [altho not necessarily in message] piece for @projectsyndicate.bsky.social w @irisvanrooij.bsky.social: > While the AI industry claims its models can “think,” “reason,” and “learn,” their supposed achievements rest on marketing hype & stolen intellectual labor 🧵

Tech companies want us to outsource all cognitive labor to their models. Instead, academics must defend universities by barring toxic, addictive AI technologies from classrooms, argue @olivia.science and @irisvanrooij.bsky.social . bit.ly/48FNcJj

(frankly speaking, any european company deepening its dependency on us tech, be it cloud or confabulation machinery, is acting unwisely. we need to divest of the technology provided by a country that very obviously wants to be our enemy.)

Weekend reading!

This is very good and worth your time. 8 pages. Excellent references. Good to think with in a philosophical sense, too.

That's from here 🥰 @andreaeyleen.bsky.social and I were prescient bsky.app/profile/oliv...

tired: correlation is not causation wired: correlation is not cognition

"tasks are not capacities" is also a banger

always a good time to remember this

Intractability and water lilies.

For accessibility, we also included a Box that intuitively explains intractability and how the growth of exponential resource demands is easily underestimated.

I tend to agree.

Interesantíssim article. El millor que he llegit en 2026. Diu una cosa que no és evident, i que molta gent creu: la intel·ligència artificial mai serà "lliure albir artificial". Un sistema IA no és una ment.

"Sooner will the sun die out than that we will create AGI"

Agreed! 👇 "We [] have proposed that such a cognitive science is possible even within a computationalist framework, if we reconceptualise Artificial Intelligence [] as “a provider of computational tools (frameworks, concepts, formalisms, models, proofs, simulations, etc.)

[tools] that support theory building in cognitive science” but without confusing the theoretical possibility of explaining human cognition computationally with the practical feasibility of (re)making human cognition in factual computational systems"

#PsychSky #NeuroSky #AI 🩺 🧠 👩‍💻

The paper is short and we’ve included a Glossary of terms to further improve accessibility. Download paper here: osf.io/preprints/ps... 📝 If you find our paper useful in your teaching of undergraduate & graduate students in Psych, AI, or otherwise, @olivia.science and I would love to know. 5/🧵

We end with guidance on how Psych & AI can benefit Cognitive Science if these traps are avoided. This alternative approach disavows attempts to automate science—using machine learning or otherwise—and instead centers scientists’ own cognition. Download here: 📝 osf.io/preprints/ps... 4/🧵

We present a typology of traps to avoid: 1. Believing that AI systems are minds 2. Believing that AI systems are theories 3. Believing that cognitive science can be automated. Learn to recognise and avoid these traps. Failure to avoid leads to numerous problems. 3/🧵

Will do a brief thread with highlights: “Many of our contemporaries now want to combine the worst of these two worlds [i.e., Psychology and Artificial Intelligence]. What could possibly go wrong? Quite a lot.” 2/🧵

✨ Updated preprint ✨ Iris van Rooij & Olivia Guest (2026). Combining Psychology with Artificial Intelligence: What Could Possibly Go Wrong? PsyArXiv osf.io/preprints/psyarxiv/aue4m_v2 @olivia.science Our aim is to make these ideas accessible for a.o. psych students. Hope we succeeded 🙂

"Sooner will the sun die out than that we will create AGI" I'm almost speechless, that's so clear. So much easier than trying to explain O notation and P/NP to someone non-technical.