This is a beautiful paper! The first third helpfully labels a stream of recent work in philosophy of AI as "propositional interpretability". The idea is to use propositional attitudes like belief, desire, and intention, to help explain AI in a way that we can understand. 1/n
29.01.2025 13:24 — 👍 50 🔁 11 💬 2 📌 0
MIT researchers release a repository of AI risks | TechCrunch
A group of researchers at MIT and elsewhere have compiled what they claim is the most thorough databases of possible risks around AI use.
"The AI risk repository, which includes over 700 AI risks grouped by causal factors (e.g. intentionality), and domains (e.g. discrimination), was born out of a desire to understand the overlaps and disconnects in AI safety research"
#AIEthics
techcrunch.com/2024/08/14/m...
05.01.2025 21:03 — 👍 42 🔁 17 💬 2 📌 1
Would love to be included!
23.11.2024 20:21 — 👍 8 🔁 0 💬 0 📌 0
Glaswegian philosopher based at the University of Edinburgh, mostly working on issues in epistemology and feminist philosophy. Co-editor of Hypatia, research associate at ACEPS, University of Johannesburg. He/him. https://sites.google.com/site/aidanmcglynn
Associate Professor of Computer Science and Psychology @ Princeton. Posts are my views only. https://www.cs.princeton.edu/~bl8144/
Scientist @ DeepMind and Honorary Fellow @ U of Edinburgh.
RL, agency, philosophy, foundations, AI.
https://david-abel.github.io
PhD student, Princeton Neuroscience Institute
Current interests: social behavior, recurrent neural networks, computational ethology
How brain neural nets do computations; we aim to understand differences in brain wiring, using lasers and neuro-AI.
Lab head, NIH. Prev: policy for democracypolicy.network. Pers views only.
neuro posts: #neuroscience /🧪
Researcher at Google and CIFAR Fellow, working on the intersection of machine learning and neuroscience in Montréal (academic affiliations: @mcgill.ca and @mila-quebec.bsky.social).
NeuroAI Scholar @ CSHL
https://darsnack.github.io
Previously maintaining FluxML to procrastinate
Previously EE PhD at UW-Madison, comp. eng. / math at Rose-Hulman
Postdoc @ Princeton Neuroscience Institute
PhD Student @ UCSD studying perception in working memory
Theoretical Neuroscientist | 🔎 Emergent neural population dynamics | Postdoc in Carandini-Harris lab at UCL | PhD from Gerstner lab at EPFL
https://tinyurl.com/yrxws43r
Postdoc in comp neuro @BrownU, interested in biophysical modeling, deep learning, and open-source software development
Philosophy of Science
University of Melbourne
https://philpeople.org/profiles/cristian-larroulet-philippi
Professor of Computational Cognitive Science | @AI_Radboud | @Iris@scholar.social on 🦣 | http://cognitionandintractability.com | she/they 🏳️🌈
Researcher in Computational Neuroscience at @PrincetonNeuro,
with focus on neural representations, RNNs and reinforcement learning
Computational neuroscientist @princetonneuro.bsky.social deciphering natural and advancing artificial intelligence.
Philosophy and Game Theory at Carnegie Mellon 🦚 Research the interface between philosophy, economics, and biology 💱 www.kevinzollman.com
I have a PhD in philosophy and now I work in a library. He/him.
michaelbenchcapon.blogspot.com
NYU professor, Google research scientist. Good at LaTeX.
AI researcher at Google DeepMind -- views on here are my own.
Interested in cognition & AI, consciousness, ethics, figuring out the future.
Princeton University Press is proud to publish books that spark engaging discussions and present bold ideas from leading experts worldwide.
