Kabir Kumar, AI-Plans.com
I run AI-Plans, an AI Safety lab focused on very precisely evaluating AI Alignment Plans.
For several weeks I used a stone for a pillow.
I once spent a quarter of my paycheck on cheese.
Ping me! DM me!
SurpassAI
@glima.bsky.social
PhD Researcher at #MPI_SP | MS and BS at KAIST | AI ethics, HCI, justice, accountability, fairness, explainability | he/him http://thegcamilo.github.io/
@asaakyan.bsky.social
PhD student at Columbia University working on human-AI collaboration, AI creativity and explainability. prev. intern @GoogleDeepMind, @AmazonScience asaakyan.github.io
@loradrian.bsky.social
RE at Instadeep, PhD in computational neuroscience, MSc in CS, interested in ML for life sciences.
@harrycheon.bsky.social
"Seung Hyun" | MS CS & BS Applied Math @UCSD 🌊 | LPCUWC 18' 🇭🇰 | Interpretability, Explainability, AI Alignment, Safety & Regulation | 🇰🇷
@annarogers.bsky.social
Associate professor at IT University of Copenhagen: NLP, language models, interpretability, AI & society. Co-editor-in-chief of ACL Rolling Review. #NLProc #NLP
@mariaeckstein.bsky.social
Research scientist at Google DeepMind. Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.
@alessiodevoto.bsky.social
PhD in ML/AI | Researching Efficient ML/AI (vision & language) 🍀 & Interpretability | @SapienzaRoma @EdinburghNLP | https://alessiodevoto.github.io/
@vedanglad.bsky.social
ai interpretability research and running • thinking about how models think • prev @MIT cs + physics
@vidhishab.bsky.social
AI Evaluation and Interpretability @MicrosoftResearch, Prev PhD @CMU.
@diatkinson.bsky.social
PhD student at Northeastern, previously at EpochAI. Doing AI interpretability. diatkinson.github.io
@peyrardmax.bsky.social
Junior Professor CNRS (previously EPFL, TU Darmstadt) -- AI Interpretability, causal machine learning, and NLP. Currently visiting @NYU https://peyrardm.github.io
@eberleoliver.bsky.social
Senior Researcher Machine Learning at BIFOLD | TU Berlin 🇩🇪 Prev at IPAM | UCLA | BCCN Interpretability | XAI | NLP & Humanities | ML for Science
@iislucas.bsky.social
Machine learning, interpretability, visualization, Language Models, People+AI research
@fatemehc.bsky.social
PhD student at Utah NLP, Human-centered Interpretability, Trustworthy AI
@besmiranushi.bsky.social
AI/ML, Responsible AI, Technology & Society @MicrosoftResearch
@begus.bsky.social
Assoc. Professor at UC Berkeley Artificial and biological intelligence and language Linguistics Lead at Project CETI 🐳 PI Berkeley SC Lab 🗣️ College Principal of Bowles Hall 🏰 https://www.gasperbegus.com
@apepa.bsky.social
Assistant Professor, University of Copenhagen; interpretability, xAI, factuality, accountability, xAI diagnostics https://apepa.github.io/
@olegranmo.bsky.social
AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
@lawlessopt.bsky.social
Stanford MS&E Postdoc | Human-Centered AI & OR Prev: @CornellORIE @MSFTResearch, @IBMResearch, @uoftmie 🌈
@e-giunchiglia.bsky.social
Assistant Professor at Imperial College London | EEE Department and I-X. Neuro-symbolic AI, Safe AI, Generative Models Previously: Post-doc at TU Wien, DPhil at the University of Oxford.
@qiaoyu-rosa.bsky.social
Final year NLP PhD student at UChicago. Explainability, reasoning, and hypothesis generation!
@sebastiendestercke.bsky.social
CS researcher in uncertainty reasoning (whenever it appears: risk analysis, AI, philosophy, ...), mostly mixing sets and probabilities. Posts mostly on this topic (french and english), and a bit about others. Personal account and opinions.
@tfjgeorge.bsky.social
Explainability of deep neural nets and causality https://tfjgeorge.github.io/
@jaom7.bsky.social
Associate Professor @UAntwerp, sqIRL/IDLab, imec. #RepresentationLearning, #Model #Interpretability & #Explainability A guy who plays with toy bricks, enjoys research and gaming. Opinions are my own idlab.uantwerpen.be/~joramasmogrovejo
@aparafita.bsky.social
Senior Researcher at Barcelona Supercomputing Center | PhD in Causal Estimation with estimand-agnostic frameworks, working on Machine Learning Explainability Github: @aparafita
@noahlegall.bsky.social
AppSci @ Dotmatics | Microbial Bioinformatics | Deep Learning & Explainability | Nextflow Ambassador | Author of 'The Microbialist' Substack | Thoughts are my own personal opinions and do not represent a third party
@charlottemagister.bsky.social
PhD student @ University of Cambridge, focusing on Explainability and Interpretability for GNNs
@amirrahnama.bsky.social
PhD Student at KTH Royal Institute of Technology. Researching Explainability and Interpretability in Machine Learning
@ronitelman.bsky.social
O'Reilly Author, "Unifying Business, Data, and Code" (2024), and Apress author, "The Language of Innovation" (2025)
@ovdw.bsky.social
Technology specialist at the EU AI Office / AI Safety / Prev: University of Amsterdam, EleutherAI, BigScience Thoughts & opinions are my own and do not necessarily represent my employer.
@jkminder.bsky.social
CS Student at ETH Zürich, currently doing my masters thesis at the DLAB at EPFL Mainly interested in Language Model Interpretability. Most recent work: https://openreview.net/forum?id=Igm9bbkzHC MATS 7.0 Winter 2025 Scholar w/ Neel Nanda jkminder.ch
@velezbeltran.bsky.social
Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!
@swetakar.bsky.social
Machine learning PhD student @ Blei Lab in Columbia University Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling! Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams. 🔗 www.sweta.dev
@dilya.bsky.social
PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany dilyabareeva.github.io
@sarah-nlp.bsky.social
Research in LM explainability & interpretability since 2017. sarahwie.github.io Postdoc @ai2.bsky.social & @uwnlp.bsky.social PhD from Georgia Tech Views my own, not my employer's.
@marvinschmitt.bsky.social
🇪🇺 AI/ML, Member @ellis.eu 🤖 Generative NNs, ProbML, Uncertainty Quantification, Amortized Inference, Simulation Intelligence 🎓 PhD+MSc CS, MSc Psych 🏡 marvinschmitt.github.io ✨ On the job market, DMs open 📩
@dorsarohani.bsky.social
Deep learning @ NVIDIA, Vector. prev @ DeepGenomics dorsarohani.com
@johnegan.bsky.social
Albuquerque AI / Atomic Entropy abqgpt.com yourai.expert folks call me the ‘AI expert’, not chasing the $$$ or seeking the spotlight, just trying to help normal folks prosper with this tech in a safe and secure manner, my 1st tech startup was in 1995
@domoritz.de
Visualization, data, AI/ML. Professor at CMU (@dig.cmu.edu, @hcii.cmu.edu) and researcher at Apple. Also sailboats ⛵️ and chocolate 🍫. www.domoritz.de
@polochau.bsky.social
Professor, Georgia Tech • ML+VIS • Director, Polo Club of AI 🚀 poloclub.gatech.edu • Carnegie Mellon alum. Covert designer, cellist, pianist faculty.cc.gatech.edu/~dchau
@mlam.bsky.social
Stanford CS PhD student | hci, human-centered AI, social computing, responsible AI (+ dance, design, doodling!) michelle123lam.github.io
@angieboggust.bsky.social
MIT PhD candidate in the VIS group working on interpretability and human-AI alignment
@hectorkohler.bsky.social
PhD student in interpretable reinforcement learning at Inria Scool. http://Kohlerhector.github.io/homepage/
@simonschrodi.bsky.social
🎓 PhD student @cvisionfreiburg.bsky.social @UniFreiburg 💡 interested in mechanistic interpretability, robustness, AutoML & ML for climate science https://simonschrodi.github.io/
@dggoldst.bsky.social
Senior Principal Research Manager at Microsoft Research NYC. Economics and Computation Group. Distinguished Scholar at Wharton.
@kbeckh.bsky.social
Data Scientist at Fraunhofer IAIS PhD Student at University of Bonn Lamarr Institute XAI, NLP, Human-centered AI