GAIA LAB
GAIA Lab is developing a novel approach to achieve safe and beneficial Artificial General Intelligence (AGI) by building a decentralized World Wide Web of AI models. They focus on addressing the systemic risks posed by numerous autonomous AI agents, such as unreliable autonomous vehicles and volatile financial markets, primarily caused by 'misspecification' of AI goals. Their solution, the GAIA network, utilizes principles of active inference theory, neurosymbolic AI, and distributed AI to create a system of coordination and governance for globally connected AIs. The GAIA network comprises a repository for world models, a communication protocol, decision support tools, a convergence mechanism where models compete based on quality and transparency, and a knowledge economy. GAIA-enabled systems offer model-based, real-time, explainable risk analysis and cybernetic AI gatekeepers that algorithmically intervene if risk exceeds a threshold, promoting trustworthy AI governance.
GAIA LAB
GAIA Lab is developing a novel approach to achieve safe and beneficial Artificial General Intelligence (AGI) by building a decentralized World Wide Web of AI models. They focus on addressing the systemic risks posed by numerous autonomous AI agents, such as unreliable autonomous vehicles and volatile financial markets, primarily caused by 'misspecification' of AI goals. Their solution, the GAIA network, utilizes principles of active inference theory, neurosymbolic AI, and distributed AI to create a system of coordination and governance for globally connected AIs. The GAIA network comprises a repository for world models, a communication protocol, decision support tools, a convergence mechanism where models compete based on quality and transparency, and a knowledge economy. GAIA-enabled systems offer model-based, real-time, explainable risk analysis and cybernetic AI gatekeepers that algorithmically intervene if risk exceeds a threshold, promoting trustworthy AI governance.