Iris van Rooij πŸ’­

@Iris@scholar.social
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Professor of Computational Cognitive Science | Radboud University | School of Artificial Intelligence | Donders Institute for Brain, Cognition, and Behaviour | Guest Prof at Aarhus University | she/they πŸ³οΈβ€πŸŒˆ
Websitehttps://irisvanrooijcogsci.com
Bloghttps://metatheorist.com
Bookhttps://cognitionandintractability.com
Twitterhttps://twitter.com/IrisVanRooij

Oh, the irony of people using generative AI to "summarise" my papers 🫠

(here the real paper: https://link.springer.com/article/10.1007/s42113-024-00217-5)

✨We are organising (again) an online workshop on Theoretical Modeling for PhD candidates and Master students in cognitive science and psychology. Check out the website and the schedule: https://computationalcognitivescience.github.io/workshop/ Registration is open! (closes July 1, spaces are limited) 🧡1/n

NEW paper! πŸ’­πŸ–₯️

β€œCombining Psychology with Artificial Intelligence: What could possibly go wrong?”

β€” Brief review paper by @olivia Guest and myself, highlighting traps to avoid when combining Psych with AI, and why this is so important. Check out our proposed way forward! πŸŒŸπŸ’‘

Full paper: https://osf.io/preprints/psyarxiv/aue4m

OSF

"Data descriptions are not models. Strictly speaking, a linear regression (for example) [or an LLM] is a model of sorts. It models the regularity in a data set. It can be a convenient summary of data. But a data summary does not explain the pattern or why the pattern is as it is.” https://rdcu.be/cGQpY

"This paper provides theoretical results that indicate limits on what machine learning methods can achieve, even with all the data and computing power in the world"

- - post by Ronald de Haan on CertAIn (Center for Explainable, Responsible & Theory-Driven AI)

https://certain-ai.nl/papers/reclaiming-ai-as-a-theoretical-tool-for-cognitive-science/

Reclaiming AI as a theoretical tool for cognitive science - CERTAIN | Center for Explainable Transparant and Theory-Driven AI in the Netherlands

This paper provides theoretical results that indicate limits on what machine learning methods can achieve, even with all the data and computing power in the world. The field of artificial intelligence, especially in its early days, has been interwoven with the study of human cognition. An important basic assumption that ties the two together is […]

CERTAIN | Center for Explainable Transparant and Theory-Driven AI in the Netherlands
Start of ACT 2: "Based on our analysis [in Act 1], we reject the view and associated project that we term β€˜makeism’. See Box 2 for a definition." 16/n

πŸ‘†With this we close ACT 1 ("releasing the grip"), and we move to ACT 2 ("reclaiming the AI vertex") πŸ‘‡

(Slide is from a recorded presentation of the paper. You can watch it here https://www.youtube.com/watch?v=akuJqk2tDPo 🍿🎬 Or you can continue reading about ACT 2 in next tweets).

15/n

Iris van Rooij - Reclaiming AI as a theoretical tool for cognitive science

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