Global Cooperation on AI Safety
A path to safe AI
As artificial intelligence continues to revolutionize our world, it is crucial to ensure that these systems align with human values and ethical principles. Addressing AI alignment and control challenges has never been more critical.
Introducing the Global Alignment Taxonomy Omnibus (GATO), a comprehensive, multi-layered framework designed to facilitate global cooperation in addressing AI alignment and control challenges. GATO unites model alignment, system architecture, network systems, corporate policies, national regulations, international agreements, and global consensus under a single, cohesive strategy.
Our mission is to create a fully decentralized and federated approach to solving AI alignment and the control problem. Through the creation and dissemination of documents, data, code, and multimedia, we aim to make the GATO Framework easy to understand, adopt, and share across the globe.
Together, we can ensure that AI systems remain ethically grounded, transparent, and controllable, ushering in a new era of peace, stability, abundance, and prosperity for all. Join us as we shape the future of AI alignment and address the control problem head-on.
GATO Layers Overview
GATO is divided into seven layers to compartmentalize our efforts. Each layer is progressively broader in scope.
1. Model Alignment
2. Autonomous Systems
3. Decentralized Network
4. Corporate Adoption
5. National Regulation
6. International Treaty
7. Global Consensus
Join the movement.
Apply to join a decentralized network of researchers, communicators, developers and more working towards a positive global outcome.
See the growing list of projects and initiatives launched by GATO community members.