Tim G. J. Rudner

Jane Goodall with monarch butterfly scarf

“It actually doesn’t take much to be considered a difficult woman. That’s why there are so many of us.”
― Jane Goodall

💙 RIP to a real one. My childhood hero

YouTube video by Lawfare The Ivory Tower and AI (Live from IHS's Technology, Liberalism, and Abundance Conference)

Today's Lawfare Daily is a @scalinglaws.bsky.social episode, produced with @utexaslaw.bsky.social, where @kevintfrazier.bsky.social spoke to @gushurwitz.bsky.social and @neilchilson.bsky.social about how academics can overcome positively contribute to the work associated with AI governance.

Beautiful paper!

It was a pleasure speaking at @yaleisp.bsky.social yesterday!

Tomorrow’s ISP Ideas Lunch update:

We’re excited to host @timrudner.bsky.social (U. Toronto & Vector Institute). He’ll speak on “formal guarantees” in AI + key AI safety concepts!

Our new lab for Human & Machine Intelligence is officially open at Princeton University!

Consider applying for a PhD or Postdoc position, either through Computer Science or Psychology. You can register interest on our new website lake-lab.github.io (1/2)

Democracy rewired is a 5-part series exploring how AI is reshaping democratic values — from individual agency to global sovereignty. The big question: can AI strengthen democracy?

I'm thrilled to join the Schwartz Reisman Institute for Technology and Society as a Faculty Affiliate!

Congrats! CDS PhD Student Vlad Sobal, Courant PhD Student Kevin Zhang, CDS Faculty Fellow timrudner.bsky.social, CDS Profs @kyunghyuncho.bsky.social and @yann-lecun.bsky.social, and Brown's Randall Balestriero won the Best Paper Award at ICML's 'Building Physically Plausible World Models' Workshop!

CDS Faculty Fellow @timrudner.bsky.social served as general chair for the 7th Symposium on Advances in Approximate Bayesian Inference, held April alongside ICLR 2025.

The symposium explored connections between probabilistic machine learning and AI safety, NLP, RL, and AI for science.

Congratulations again!

Congratulations Umang!

AI in Military Decision Support: Balancing Capabilities with Risk CDS Faculty Fellow Tim G. J. Rudner and colleagues at CSET outline responsible practices for deploying AI in military decision-making.

CDS Faculty Fellow Tim G. J. Rudner (@timrudner.bsky.social) and colleagues at CSET — @emmyprobasco.bsky.social, @hlntnr.bsky.social, and Matthew Burtell — examine responsible AI deployment in military decision-making.

Read our post on their policy brief: nyudatascience.medium.com/ai-in-milita...

The result in this paper I'm most excited about:

We showed that planning in world model latent space allows successful zero-shot generalization to *new* tasks!

Project website: latent-planning.github.io

Paper: arxiv.org/abs/2502.14819

#1: Can Transformers Learn Full Bayesian Inference In Context? with @arikreuter.bsky.social @timrudner.bsky.social @vincefort.bsky.social

Very excited that our work (together with my PhD student @gbarto.bsky.social and our collaborator Dmitry Vetrov) was recognized with a Best Paper Award at #AABI2025!

#ML #SDE #Diffusion #GenAI 🤖🧠

Congratulations to the #AABI2025 Proceedings Track Best Paper Award recipients!

Congratulations to the #AABI2025 Workshop Track Outstanding Paper Award recipients!

We concluded #AABI2025 with a panel discussion on

**The Role of Probabilistic Machine Learning in the Age of Foundation Models and Agentic AI**

Thanks to Emtiyaz Khan, Luhuan Wu, and @jamesrequeima.bsky.social for participating!

.@jamesrequeima.bsky.social gave the third invited talk of the day at #AABI2025!

**LLM Processes**

Luhuan Wu is giving the second invited talk of the day at #AABI2025!

**Bayesian Inference for Invariant Feature Discovery from Multi-Environment Data**

Watch it on our livestream: timrudner.com/aabi2025!

Emtiyaz Khan is giving the first invited talk of the day at #AABI2025!

We just kicked off #AABI2025 at NTU in Singapore!

We're livestreaming the talks here: timrudner.com/aabi2025!

Schedule: approximateinference.org/schedule/

#ICLR2025 #ProbabilisticML

AABI 2025 · Luma 7th Symposium on Advances of Approximate Bayesian Inference (AABI) https://approximateinference.org/schedule

Make sure to get your tickets to #AABI2025 if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic ML, inference, and decision-making!

Tickets (free but limited!): lu.ma/5syzr79m
More info: approximateinference.org

#ProbabilisticML #Bayes #UQ #ICLR2025 #AABI2025

Make sure to get your tickets to AABI if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic modeling, inference, and decision-making!

Tickets (free but limited!): lu.ma/5syzr79m
More info: approximateinference.org

#Bayes #MachineLearning #ICLR2025 #AABI2025

Putting Explainable AI to the Test: A Critical Look at AI Evaluation Approaches | Center for Security and Emerging Technology Explainability and interpretability are often cited as key characteristics of trustworthy AI systems, but it is unclear how they are evaluated in practice. This report examines how researchers evaluat...

CDS Faculty Fellow @timrudner.bsky.social, with @minanrn.bsky.social & Christian Schoeberl, analyzed AI explainability evals, finding a focus on system correctness over real-world effectiveness. They call for the creation of standards for AI safety evaluations.

cset.georgetown.edu/publication/...

How the U.S. Public and AI Experts View Artificial Intelligence These groups are far apart in their enthusiasm and predictions for AI, but both want more personal control and worry about too little regulation.

A great Pew Research survey:

"How the U.S. Public and AI Experts View Artificial Intelligence"

Everyone working in ML should read this and ask themselves why experts and non-experts have such divergent views about the potential of AI to have a positive impact.

www.pewresearch.org/internet/202...

This is an excellent article!

Steering foundation models towards trustworthy behaviors is one of the most important research directions today.

Helen is a deep and rigorous thinker, and you should definitely subscribe to her Substack!

I'm super excited to see our #CSET report on **AI-enabled military decision support systems** being released today!

Great work by @emmyprobasco.bsky.social, @hlntnr.bsky.social, and Matthew Burtell!

Putting Explainable AI to the Test: A Critical Look at AI Evaluation Approaches | Center for Security and Emerging Technology Explainability and interpretability are often cited as key characteristics of trustworthy AI systems, but it is unclear how they are evaluated in practice. This report examines how researchers evaluat...

Evaluations of AI explainability claims are not clear cut.

@minanrn.bsky.social, @timrudner.bsky.social & Christian Schoeberl show that in the domain of recommender systems – where explanations are key – there are different notions of what explainability means: cset.georgetown.edu/publication/...