IBBIS | Tessa Alexanian
An outreach campaign from IBBIS to rapidly increase adoption of effective synthesis screening tools during a critical regulatory window.
Michail Patsakis
An open-source benchmark and defense toolkit for testing whether corrupted biological databases can hijack retrieval-augmented AI agents used in genomics, prote
Georgia Tech Research Corporation
We will test whether circuits in protein language models can detect function-preserving redesigns of known toxins that evade homology-based DNA-synthesis screen
Redarc Labs | Manan Wadhwa
Focusing more on the intersection of red teaming and interp, while creating a strong rooted community.
Krishna Patel
Expanding proven isolation techniques to high-risk capability domains in Mixture of Expert models
Chris Canal
Enabling rapid deployment of specialized engineering teams for critical AI safety evaluation projects worldwide
GG
Developing and commercializing an alternative to feeder rodents—tackling one of the most neglected and high-suffering forms of factory farming.
David Carel
Accelerating the adoption of air filters in every classroom
Chetan Kharbanda
Funding circles and advisory to fund high impact non-profits
Saeed Ahmad
AI-Biosecurity Stress Test for Public Health Laboratory System in Liberia, West Africa
Nuño Sempere
A foresight and emergency response team seeking to react fast to calamities
Tyler John
Jørgen Ljønes
We provide research and support to help people move into careers that effectively tackle the world’s most pressing problems.
Dan Hendrycks
Grace Braithwaite
A Cambridge Biosecurity Hub and Cambridge Infectious Diseases Symposium on Avoiding Worst-Case Scenarios
Jonathan Samuel Claybrough
5 day bootcamp upskilling participants on biosecurity, to enable and empower career change towards reducing biorisks, from ML4Good organisers
Dominique Gian Leonardo
Center for AI Policy
Xyra Sinclair
Unlocking the paradigm of agents + SQL + compositional vector search
Martin Percy
An experimental AI-generated sci-fi film dramatising AI safety choices. Using YT interactivity to get ≈880 conscious AI safety decisions per 1k viewers.