summerfieldlab @summerfieldlab.bsky.social
@summerfieldlab
Investigating the mechanisms that underpin human learning, perception and cognition, headed by Chris Summerfield
it was so fun to work with this great team to understand what makes AI persuasive and why!
Today (w/ @UniofOxford @Stanford @MIT @LSEnews) we’re sharing the results of the largest AI persuasion experiments to date: 76k participants, 19 LLMs, 707 political issues. We examine “levers” of AI persuasion: model scale, post-training, prompting, personalization, & more 🧵
please apply for this: civilservicejobs.service.gov.uk/csr/jobs.cgi?j… it's a strategy and delivery manager role (non-technical) in our "AI and Human Influence" team at AISI. Would suit someone who cares about AI policy, and wants to work in a fast-paced environment in the shadow of Big Ben
We're hiring a Senior Researcher for the Science of Evaluation team! We are an internal red-team, stress-testing the methods and evidence behind AISI’s evaluations. If you're sharp, methodologically rigorous, and want shape research and policy, this role might be for you! 🧵
a mere 13 months after it was first submitted, this review article led by Andrea Tachetti and others has finally seen the light of day! I have no recollection of what it says pnas.org/doi/10.1073/pn…
Amid rising AI companionship, this work w/ @iasongabriel @summerfieldlab @bertievidgen @computermacgyve (@UniofOxford @oiioxford @AISecurityInst @GoogleDeepMind) explores how human-AI relationships create feedback loops that reshape preferences - and why it matters for AI safety
AISI has published its research agenda... aisi.gov.uk/research-agenda There is so much amazing work going on at AISI. Expect much more in the way of published outputs over the coming months!
THESE STRANGE NEW MINDS by @summerfieldlab is one of @lithub's Ten Nonfiction Books to Check Out in March! lithub.com/from-bowie-to-…
Happy Publication Day to @summerfieldlab whose ‘THESE STRANGE NEW MINDS: How AI Learnt to Talk and What It Means’ is published by @VikingBooksUK @PenguinUKBooks today!
New paper led by the unstoppable @QingtianMi We study how people learn a task that involves combining multiple sources of information. We work out which curricula work best, build a model, and use it to successfully discover new curricula. enjoy! osf.io/preprints/psya…
Important story in the Times this morning (@rhysblakely) about a “Habermas Machine” that can help find consensus in the deliberative process.
AISI's societal impacts team is looking for several research scientists / engineers. Backgrounds in machine learning, computational social science, data science, NLP, statistics / experimental design all welcome. boards.eu.greenhouse.io/aisi/jobs/4410… AISI is great. come and join us :)
Neural networks need a dorsal stream to learn structure in natural scenes! really proud of this work led by @tsonj
How does the brain represent the structure of visual scenes independent of their contents? In “Zero-shot counting with a dual-stream neural network model” (@NeuroCellPress), we propose a model based on the parallel pathways of the primate visual system. shorturl.at/Zp5EA