Samuel Ratnam
An interdisciplinary research group based in Oxford for character training, model pyschology and multi-agent interaction dynamics
PauseAI Canada
Noa Hölzer
Ensuring our ability to grow in a sustainable manner
Yevhen Haluschak
How much information can a language model transmit through a constrained channel? We’re testing this in our first E3-A experiment.
Sofia Mendez
AI Safety Influencer Comms Agency
Lawrence Wagner
Creating a Stronger Pipeline into Technical AI Safety Research
Jai Dhyani
Creating conditions for cooperative strategies to dominate adversarial ones among near-future AIs while we still can
Anju Chhetri
Pip Foweraker
Short-term physical and mental health support
Niklas Titgemeyer
Millions of people watch my AI safety videos each month, but so far my channel has cost me more money than I’ve made with it.
Giuseppe Dal Pra
Combining, iterating and refining best-practice epistemic democratic AI Governance with a documentary and international strategy to scale a UK citizen assembly
Constance Li
Funding compute/API costs for Incubator projects that build nonhuman welfare consideration into AI safety work
Cecil Abungu
A junior research fellowship for recent African graduates that combines ILINA’s spring seminar with a mentored research phase on AI and global catastrophic risk
Phil Palmer
Deploying customer screening software at DNA synthesis providers to reduce AI-enabled biothreats
Mox
An incubator & community space in SF; for doers of good and masters of craft
Nikhil Maturi
An open, cheap method that detects when an inoculation prompt inoculates against off-target traits, so labs and developers can catch undesired trait/persona cha
Jordan Arel
A scalable fellowship training researchers to develop interventions for achieving high-value long-term futures
Sofia Yablonskaya
Monthly analysis of China's algorithm-filing registry and binding AI security standards, read in Chinese, for the people calibrating AI rules in the West.
Rohan Prasad
Sapiens First organizes voters to fight concentration of power and for AI safety
Greg Longley
Help gain a technical understanding of AI Engineering to enable effective check and challenge AI safety using a technical lens