AI technology is being explored as a tool to enhance democratic and decentralized governance models, addressing the limitations of human attention and expertise. Personal governance agents, powered by large language models (LLMs), can automate decision-making based on user preferences, while public conversation agents aggregate and refine collective inputs for more informed outcomes. Additionally, suggestion markets and decentralized governance with private information are proposed to improve decision quality and maintain privacy. These models leverage prediction markets and multi-party computation to handle sensitive information securely. Privacy remains a priority, with zero-knowledge proofs ensuring participant anonymity and safeguarding personal data during computation.