Transluce: Fund Scalable Democratic Oversight of AI

Offensive Cyber Kill Chain Benchmark for LLM Evaluation

Measuring whether AI can autonomously execute multi-stage cyberattacks to inform deployment decisions at frontier labs

Evitable: a new public-facing AI risk non-profit

Our mission is to inform and organize the public to confront societal-scale risks of AI, and put an end to the reckless race to develop superintelligent AI.

Architectural Governance to Prevent Authority Drift in AI Systems

A constraint-first approach to ensuring non-authoritative, fail-closed behavior in large language models under ambiguity and real-world pressure

Forethought

Research on how to navigate the transition to a world with superintelligent AI systems

Reducing Risk in AI Safety Through Expanding Capacity.

AURA Protocol: Measurable Alignment for Autonomous AI Systems

An open-source framework for detecting and correcting agentic drift using formal metrics and internal control kernels

SOTA Public Research Database + Search Tool

Unlocking the paradigm of agents + SQL + compositional vector search

Shallow Review of AI Governance: Mapping the Technical–Policy Implementation Gap

Identifying operational bottlenecks and cruxes between alignment proposals and executable governance.

Formal Certification Technologies for AI Safety

Developing the software infrastructure to make AI systems safe, with formal guarantees

Runway till January: Amplify's funding ask to market EA & AI Safety 

Help us solve the talent and funding bottleneck for EA and AIS.

Building an Educational Universe Through Animals and Longtermist Storytelling

A global IP project reimagining ecology and future technology and institutions through character-driven narratives.

Retroactive: Presenting a poster at the ICML technical AI governance workshop

From Nobel Signatures to Binding Red Lines: The 2026 Diplomatic Sprint

Leveraging 12 Nobel signatories to harmonize lab safety thresholds and secure an international agreement during the 2026 diplomatic window.

Operating Capital for AI Safety Evaluation Infrastructure

Enabling rapid deployment of specialized engineering teams for critical AI safety evaluation projects worldwide

Building Frontier AI Governance Capacity in Africa (Pilot Phase)

A pilot to build policy and technical capacity for governing high-risk AI systems in Africa

Alignment as epistemic system governance under compression

We reframe the alignment problem as the problem of governing meaning and intent when they cannot be fully expressed.

Disentangling Political Bias from Epistemic Integrity in AI Systems

An Integrative Framework for Auditing Political Preferences and Truth-Seeking in AI Systems

Boundary-Mediated Models of LLM Hallucination and Alignment

A mechanistic, testable framework explaining LLM failure modes via boundary writes and attractor dynamics

Protocol-Level Interaction Risk Assessment and Mitigation (UIVP)

A bounded protocol audit and implementation-ready mitigation for intent ambiguity and escalation in deployed LLM systems.