"Using some of my own work, I set out to clear up a few relevant concepts from theoretical computer science and computational cognitive science that can help to build conceptual hygiene and immunity against hyped claims about “AI” capabilities."
irisvanrooijcogsci.com/2026/09/12/c...
So nice to see this out!
> The five core principles – honesty, Scrupulousness, transparency, independence and responsibility – remain unchanged.
www.nwo.nl/en/news/revi...
Image from: doi.org/10.5281/zeno...
"The five core principles – honesty, Scrupulousness, transparency, independence and responsibility – remain unchanged. The new code emphasises shared responsibility for integrity and extends the duties of care for institutions."
www.nwo.nl/en/news/revi...
I did a thing!! I made a rendition of the song The Man with Money in his Hands by Jessie Mazin ❤️ This song was just perfect to be made into an anti-AI anthem. "Make life easier, just give up control. It's a chemical dependance, it's a bruise on your soul"
Enjoy!!!!!!! 😃
youtu.be/i6Sbu2Zf2SM?...
"The code states that institutions are responsible for providing a working environment that promotes and safeguards ethical research practices. They therefore have a duty of care to embed scientific integrity within the organisation and its policies."
www.nwo.nl/en/news/revi...
"Governing bodies and senior management should actively promote the standards and principles set out in the code, and scientific integrity must be a recurring topic of discussion in the workplace and at other levels of the organisation."
www.nwo.nl/en/news/revi...
"Scientific integrity ensures that researchers can trust and build upon each other’s results, and forms the basis for public trust in research and for societal impact."
www.nwo.nl/en/news/revi...
"[The code] covers all phases of research: from design to implementation, reporting, peer review and communication. Researchers should also follow the principles and standards set out in the code when using technologies such as AI."
www.nwo.nl/en/news/revi...
"The five core principles – honesty, Scrupulousness, transparency, independence and responsibility – remain unchanged. The new code emphasises shared responsibility for integrity and extends the duties of care for institutions."
www.nwo.nl/en/news/revi...
"Universiteiten en hogescholen dienen hun onderzoekers te beschermen tegen druk en inmenging. Wetenschappers moeten voorzichtig zijn met AI. Dat staat in de nieuwe gedragscode wetenschappelijke integriteit."
www.voxweb.nl/nieuws/nieuw...
these pointless chatbots are what journals are literally spending our tax money on because these publishers are leeches off the public purse and then fence off academic outputs into weird systems
also Maxwell / Epstein money
Please share and sign: www.universitiesforjustice.eu/sign/
> We call on you, as our responsible university leadership, to join and extend this momentum by:
> 1. demanding the suspension of Israel’s participation in Horizon Europe and the EU-Israel Association Agreement;
I can't help but shake the feeling that for however many times whataboutism and motte and bailey seem to fit there's 1000s more times where they are weaponised nonsense. For the 1st because comparison of cases is vital to understanding and the 2nd because formal vs casual writing are very different.
> 3. defending academic freedom and Palestinian academic life by protecting staff and students who decline to participate in or withdraw from such collaborations and providing sustained material support to Palestinian academic communities.
www.universitiesforjustice.eu/sign/
> 2. suspending institutional cooperation with Israeli universities and other implicated Israeli institutions and organisations;
www.universitiesforjustice.eu/sign/
"If university bots graded bots, you would no longer have a university. You’d have a tomb, an academic mausoleum in which digital phantoms murmured emptily"
theconversation.com/friday-essay...
Of zoals de universiteit van Aalto nuchter schreef, 'Nothing new here, actually! The rule of research integrity and responsible conduct of research still apply!'
(geciteerd in mijn bijdrage in de bundel Als wij denken, net verschenen, hier te lezen doi.org/10.5281/zeno... )
The above quote is from 1970: en.wikipedia.org/wiki/Roger_A... — the California system used to be 100% free at point of use, the UK used to be free (& made expensive by people who studied for FREE: en.wikipedia.org/wiki/Timelin...), the EU still has many free or basically free universities.
The elite hate us being educated, us educating you, you educating each other, and you having time to do this. Stop granting that it's the university that is elitist inherently: it's been made that way for a reason. Some more points below also on the marriages between patriarchy, AI, capitalism...
“Palantir cofounder and CEO Alex Karp states ‘AI will undermine the influence of highly educated, often female voters and give it to working class men.
We have feminine energy running our cities and our courts,’ he complained.”
I have a story like this too; during the first encampments I came up with the idea to grant ECs to students who spent all the summer trying to improve the university, make them see the light of correct moral compass. So I designed this and got it approved with the help of colleagues too of course. 🩵
I have a story like this too; during the first encampments I came up with the idea to grant ECs to students who spent all the summer trying to improve the university, make them see the light of correct moral compass. So I designed this and got it approved with the help of colleagues too of course. 🩵
Relatedly, what does it mean for a model or a theory to be successful? Most people claim prediction is enough. But is empirical fit really everything we want and also all it's cracked up to be?
Can you answer that for your own work if you work with models?
I'm excited to share this preprint by my wonderful MSc student Yihsin who's thought deeply about how psychological & neurocognitive theories relate to different types of evidence.
Beyond Empirical Success: Evaluating Theoretical Virtue Across the Computational Modeling Chain
doi.org/10.5281/zeno...
Second, the place of models in our sciences is clearly under great discussion and we need to start to engage with what models are and what we want them to be.
hopefully more agree and will start to also act on this, but as a computational modeller, I think and hope more of us start to spend a little more on what models are (for), who / what they serve, etc.
(slides from www.youtube.com/watch?v=4DHg... — not exactly what I said yesterday but very related)
First, automation is not what you think! No system which is automated has within it machines or processes that require no human oversight. Automation is actually not what you seem to think if you think the OP statements. It may be time to engage with psychological research in this area!
so so so many times...
Bainbridge, L. (1983). Ironies of automation. In Analysis, design and evaluation of man–machine systems (pp. 129-135). Pergamon.
en.wikipedia.org/wiki/Ironies...
4/n
Why do some colleagues from psych, cog neuro, etc., accept AI nonsense that all or almost all our science will be automated? I'm a bit flabbergasted. Yes, of course we'll need observations, always. But to say theory and modelling practice can be automated by AI is preposterous. Some basic points...
Fourth, under a computationalised automated science in the way they imagine nothing would happen that was in any way what we'd identify as science.
See the last cell here below in the table:
NEW paper! 💭🖥️
“Combining Psychology with Artificial Intelligence: What could possibly go wrong?”
— Brief review paper by @olivia.science & myself, highlighting traps to avoid when combining Psych with AI, and why this is so important. Check out our proposed way forward! 🌟💡
osf.io/preprints/ps...
Third, automating science is not really possible in the way described. In the same way a machine cannot eat food for us because we'd starve: scientific understanding is for us to experience and share with others as a psychological state. It's a process and a cognitive state not an output.
It's not like biology has a single definition for life — nor do they need a definite meaning to start work. The whole point of science is the understandings produced by the work: that's what knowledge production is. You don't put definitions in and out comes something else. You toil to understand.
Yes, no matter what happens actually. We have knowledge from thousands of years ago. So long as humans exist, we can imagine a better future — and we are obliged to as Stengers explains.
📚 Now reading:
Sarah Klein (2026). Modeling as Theater and Other Questionable Research Practices
Compiling some snippets here. Check out the full paper 📝 muse.jhu.edu/article/1001...
Will also add this thread to my page here: irisvanrooijcogsci.com/2026/02/15/%... (h/t @olivia.science )
1/🧵
See where she says:
> 'The task of a university is the creation of the future[.] The future is big with every possibility of achievement and of tragedy.' [...] We cannot evade that call by pleading that we do not deserve to play such a role.
— Isabelle Stengers
PDF: hcommons.org?get_group_do...
I recommend reading this book! See this extract where she says that we cannot avoid our duty by claiming excuses like that we do not "deserve" the duty. I also recommend it to everybody in this thread.
> ‘We cannot continuously tell you what our science means; what it will be good for; because we simply don’t know yet. Science needs time – Bear with us, while we think.’ Resisting consensus always exposes us to sniggers, but I will expose my position even further by daring to defend...
Only topically! Unsurprisingly we are pretty much on the same page about teaching and the pressures teachers and learners are under are the same ones facing science, art and anyone who cares for human thought and creativity
Even though what we are sharing is deeply depressing and upsetting, the many responses and solidarity in this thread from many amazing women really warms my heart.
Sending solidarity back to all of you!! 🫶 We'll uproot the patriarchy together.
So I did 45 minutes of me talking (this: youtu.be/4DHgVkIWhig) and then 45 minutes us all talking and chatting. What I like about that format is nothing then feels rushed.
Excited to share this short & sweet article I wrote with
@samhforbes.bsky.social!
Teaching coding inclusively: if this, then what? doi.org/10.31235/osf...
The title perhaps says it all; we show through arguments and examples what women experience in programming class and what to do to remedy it.
It's not like biology has a single definition for life — nor do they need a definite meaning to start work. The whole point of science is the understandings produced by the work: that's what knowledge production is. You don't put definitions in and out comes something else. You toil to understand.
Now, IMHO, the question should be: what does the implemented function (& algorithm) tell us about the approximated function? Can it actually be informative or give us some insight into the cognitive function (if there is one)?
Essence or minutiae? 🤔
reminder, if you present, in psychology say, findings that "wow a neural network simulated this task" it's not actually surprising (they are function approximators) nor is the surprise compatible with believing neural networks can learn any mapping (they cannot) — confused? see below