NEAR Protocol 聯合創辦人表示，人工智慧驅動的治理：DAO 的未來

NEAR Protocol 聯合創辦人 Illia Polosukhin 預見去中心化自治組織（DAO）將發生變革，而人工智慧驅動的治理將成為決策的未來。將人工智慧 (AI) 融入治理流程將涉及人工智慧模型收集資訊和做出決策，而人類成員將起到製衡作用。

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

NEAR Protocol 聯合創辦人表示，人工智慧驅動的治理：DAO 的未來

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.

杜拜，2023 年 4 月 25 日 - NEAR Protocol 聯合創辦人 Illia Polosukhin 預言去中心化自治組織 (DAO) 領域將發生變革，並認為人工智慧 (AI) 將引導這些自治實體內決策的未來。

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.

最近在杜拜Token2049 舉行的以人工智慧為主題的小組討論中，Polosukhin 宣稱他堅信人工智慧將在DAO 的鏈上和鏈下決策中發揮越來越關鍵的作用，這可能預示著治理流程的範式轉變。

"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 斷言：“我預見到，人工智慧將在 DAO 中接管政府的控制權，無論是在鏈上還是在鏈下決策，這是一種日益增長的趨勢。” “民眾，即代幣持有者股東，本質上將發揮否決權，提供監督並確保人工智能驅動的決策符合集體意願。”

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 闡述道，人工智慧模型可能承擔資訊收集和基於預定義標準的決策等責任，而 DAO 的人類部分將充當監督者，提供製衡，以確保負責任和道德的人工智慧治理。

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 聯合創辦人進一步闡述，人工智慧賦能的治理可以讓 DAO 最大化代幣價值，這對人類參與者來說是一項艱鉅的任務。 「協調 DAO 內的無數利益相關者是一項複雜的工作，需要綜合複雜的資訊並提供背景信息，」Polosukhin 解釋道。 “人工智慧可以簡化這些流程，釋放 DAO 的全部潛力。”

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.

將人工智慧融入 DAO 治理已成為加密貨幣社群的關鍵話題，這表明它有可能徹底改變這個快速發展的行業的決策過程。 Crunchbase 的最新數據顯示，分配給人工智慧公司的創投資金激增，凸顯了投資者對這一交叉點的興趣濃厚。光是 2 月份，人工智慧公司就獲得了 47 億美元的巨額投資，較前幾個月大幅成長。

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 的遠見卓識與區塊鏈領域人工智慧採用的新興趨勢相一致。總部位於新加坡的區塊鏈新創公司 aelf 最近加入了人工智慧競賽，成立了一支 5000 萬美元的基金，致力於促進人工智慧在區塊鏈生態系統中的開發和應用。

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.

隨著人工智慧與 DAO 的整合越來越受到關注，利害關係人仍然必須以平衡的視角來對待這項技術變革。雖然人工智慧在提高治理效率和決策方面有著巨大的前景，但同樣重要的是，確保以負責任和道德的方式開發和部署人工智慧模型，並與支撐人工智慧模型的透明度、問責制和社區參與的價值觀保持一致。