NEAR Protocol 联合创始人表示，人工智能驱动的治理：DAO 的未来

NEAR Protocol 联合创始人 Illia Polosukhin 预见到去中心化自治组织（DAO）将发生变革，人工智能驱动的治理将成为决策的未来。将人工智能 (AI) 融入治理流程将涉及人工智能模型收集信息和做​​出决策，而人类成员将起到制衡作用。

AI-Driven Governance: The Future of DAOs, According to NEAR Protocol Co-Founder

NEAR Protocol 联合创始人表示，人工智能驱动的治理：DAO 的未来

Dubai, April 25, 2023 - NEAR Protocol co-founder Illia Polosukhin has prophesied a transformative shift in the realm of decentralized autonomous organizations (DAOs), positing that artificial intelligence (AI) will steer the future of decision-making within these autonomous entities.

迪拜，2023 年 4 月 25 日 - NEAR Protocol 联合创始人 Illia Polosukhin 预言去中心化自治组织 (DAO) 领域将发生变革，并认为人工智能 (AI) 将引导这些自治实体内决策的未来。

During a recent AI-themed panel discussion at Dubai's Token2049, Polosukhin declared his firm belief that AI will assume an increasingly pivotal role in both on-chain and off-chain decision-making within DAOs, potentially heralding a paradigm shift in governance processes.

最近在迪拜 Token2049 举行的一次以人工智能为主题的小组讨论中，Polosukhin 宣称他坚信人工智能将在 DAO 的链上和链下决策中发挥越来越关键的作用，这可能预示着治理流程的范式转变。

"I foresee a growing trend where AI will assume the reins of government within DAOs, both on-chain and in off-chain decision-making," Polosukhin asserted. "The population, token holder shareholders, will essentially function as a veto, providing oversight and ensuring that AI-driven decisions align with the collective will."

Polosukhin 断言：“我预见到，人工智能将在 DAO 中接管政府的控制权，无论是在链上还是在链下决策，这是一种日益增长的趋势。” “民众，即代币持有者股东，本质上将发挥否决权，提供监督并确保人工智能驱动的决策符合集体意愿。”

Polosukhin elaborated that AI models could potentially shoulder responsibilities such as information gathering and decision-making based on predefined criteria, while the human components of DAOs would act as watchdogs, providing checks and balances to ensure responsible and ethical AI governance.

Polosukhin 阐述道，人工智能模型可能会承担信息收集和基于预定义标准的决策等责任，而 DAO 的人类部分将充当监督者，提供制衡，以确保负责任和道德的人工智能治理。

The NEAR Protocol co-founder further expounded that AI-empowered governance could empower DAOs to maximize token value, a daunting task for human participants alone. "Coordinating the myriad stakeholders within a DAO is an intricate endeavor, demanding the synthesis of complex information and the provision of context," Polosukhin elucidated. "AI can streamline these processes, unlocking the full potential of DAOs."

NEAR Protocol 联合创始人进一步阐述，人工智能赋能的治理可以使 DAO 最大化代币价值，这对于人类参与者来说是一项艰巨的任务。 “协调 DAO 内的无数利益相关者是一项复杂的工作，需要综合复杂的信息并提供背景信息，”Polosukhin 解释道。 “人工智能可以简化这些流程，释放 DAO 的全部潜力。”

The integration of AI into DAO governance has emerged as a pivotal topic within the crypto community, signaling its potential to revolutionize decision-making processes in this rapidly evolving industry. Recent data from Crunchbase reveals a surge in venture capital funding allocated to AI companies, underscoring heightened investor interest in this intersection. In February alone, AI companies secured a colossal $4.7 billion in investments, marking a significant surge from previous months.

将人工智能融入 DAO 治理已成为加密货币社区的一个关键话题，这表明它有可能彻底改变这个快速发展的行业的决策过程。 Crunchbase 的最新数据显示，分配给人工智能公司的风险投资资金激增，凸显了投资者对这一交叉点的兴趣浓厚。仅 2 月份，人工智能公司就获得了 47 亿美元的巨额投资，较前几个月大幅增长。

Polosukhin's visionary insights align with the burgeoning trend of AI adoption within the blockchain space. Singapore-based blockchain startup aelf recently joined the AI race, establishing a $50 million fund dedicated to fostering the development and application of AI within the blockchain ecosystem.

Polosukhin 的远见卓识与区块链领域人工智能采用的新兴趋势相一致。总部位于新加坡的区块链初创公司 aelf 最近加入了人工智能竞赛，成立了一支 5000 万美元的基金，致力于促进人工智能在区块链生态系统中的开发和应用。

As the integration of AI into DAOs gains traction, it remains imperative for stakeholders to approach this technological transformation with a balanced perspective. While AI holds immense promise for enhancing governance efficiency and decision-making, it is equally crucial to ensure that AI models are developed and deployed in a responsible and ethical manner, aligning with the values of transparency, accountability, and community participation that underpin the very fabric of DAOs.

随着人工智能与 DAO 的整合越来越受到关注，利益相关者仍然必须以平衡的视角来对待这一技术变革。虽然人工智能在提高治理效率和决策方面有着巨大的前景，但同样重要的是，确保以负责任和道德的方式开发和部署人工智能模型，并与支撑人工智能模型的透明度、问责制和社区参与的价值观保持一致。 DAO 的结构。