Safe AI Germany (SAIGE)

Germany’s talents are critical to the global effort of reducing catastrophic risks brought by artificial intelligence.

12th Edition of AI Safety Camp

Department of Future Listening: Narrative Risk Radar (UK pilot)

Detect polarising story-frames early and build better narratives—fast, practical, adoptable.

AIVA OS: Causal Intelligence for Medicine

Reconstructs longitudinal patient state, identifies causal drivers, and runs simulations to prevent high severity clinical failures under fragmented data.

AI:Save Our Souls

A tech-infused immersive musical. Experience the future of storytelling where artificial intelligence meets the depths of human emotion.

Transluce: Fund Scalable Democratic Oversight of AI

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.

Forethought

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

Reducing Risk in AI Safety Through Expanding Capacity.

Paper Clip Apocalypse (War Horse Machine)

Short Documentary and Music Video

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.

Operating Capital for AI Safety Evaluation Infrastructure

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

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

Offensive Cyber Kill Chain Benchmark for LLM Evaluation

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

Testing a Deterministic Safety Layer for Agentic AI (QGI Prototype)

A prototype safety engine designed to relieve the growing AI governance bottleneck created by the EU AI Act and global compliance demands.

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

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

Disentangling Political Bias from Epistemic Integrity in AI Systems

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

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

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