Odaily News Elena Sinelnikova, co-founder of Ethereum Layer2 Metis, sent a letter to all community members through the Metis official X, systematically analyzing the governance structure, one of the core values of Metis, and the development direction and future practical scenarios of its AI governance framework and the strategy of aligning it with human values.
Metis is committed to achieving decentralization across multiple levels and has unique advantages in achieving an effective balance and coordination between artificial intelligence and humans: the upcoming Metis SDK can achieve seamless interoperability with all other chains; through verifiable computing technology, individual centralized DAOs (iDAOs) that manage assets, and data anchored tokens (DATs) that support the anchoring of AI assets throughout their life cycle, LazAI has built a technical framework to systematically solve the AI alignment problem. Its core goal - the AI alignment problem, is the key to ensuring that future AI governance is aligned with human needs and visions.
Metis' vision of "effective and balanced coordination of artificial intelligence and humans" will have the potential to solve a wide range of problems, such as large-scale problems such as solving global problems such as inefficient global politics and inconsistency with the people, inefficient national and corporate governance, unstable economic policies, economic collapse and crises, and can also provide decision-making advice and guidance on each smaller but more impactful issue, such as giving business decisions, assisting DAO members to understand voting governance and assisting members to participate effectively.
Metis' future development vision will be as its co-founder Elena mentioned in an open letter: "Based on Metis' solid decentralized foundation, cross-chain interoperability advantages and commitment to ethical AI governance systems, Metis is by no means an ordinary Web3 platform - it is becoming an ideal testing ground for reshaping governance models, business ecosystems and social structures, and creating a better paradigm through a decentralized AI-human collaboration model."