Nicole Casanova
Validating a cross-model behavioral benchmark — 7 models, 1,050 conversations, Cohen's d=1.08 — with no cost to factual honesty.
Ryan Ingosi
An independent safety score for AI agents you can verify — deterministic, reproducible, auditable, and it never needs your private data.
Aashka Patel
AI Nutrition Labels For Everyday Consumers & AI Agents: Travel + POC Grant
lucas bailey
Open source, cross-framework benchmark for AI agents
Pedro Bentancour Garin
One year of bootstrapped development, four patent filings, seeking support to continue.
Iman Schrovk
Open, formally-verified proof of which named human approved an irreversible AI-agent action before it ran — so the model isn't the crumple zone.
Marian Dorobantu
A governance layer that lets a person refuse AI output that drifts from who they are — and measures the drift. Validated on one case; now scaling to many.
Michael A. Riegler
Ahmad Abby
Empirical measurement infrastructure proving whether AI systems hold their constraints under real operating conditions.
Wesley Shu
Model-agnostic control infrastructure for LLMs, AI agents, and enterprise AI workflows.
Jeffrey Starr
Jonas Kgomo
Vakeesan Mahalingam
Open-source safety infrastructure for budget caps, verification, rollback, and audit trails in autonomous coding agents.
Ilan Strauss
A community-led open reference implementation & draft spec for portable agent memory, built on MCP and ACP
Emma Jane Humphrey
$5,000 USD to bring 16 vetted academics and policy leads to NZ's first AI Safety Conference, ensuring national representation and cross-sector collaboration
Tutankhamun Castillo El-Bey
Cryptographically signed, independently verifiable receipts for what AI agents actually did, anchored to Bitcoin so the record can't be quietly rewritten.
Mark McArthey
After 10 months running as my daily companion, this persistent AI is exposing failure modes in memory contamination, confabulation, and emotional drift.
Alex Chao
Funding AI credits and expert review for faith-facing AI evaluation projects
Jessica Pu Wang
Germany’s talents are critical to the global effort of reducing catastrophic risks brought by artificial intelligence.
Emmanuel king
A production-ready mathematical governance layer (C+R+S simplex, Control Barrier Functions, Lyapunov stability) that enforces Continuity, Reciprocity & Sovereig