這篇文章是Faiā董事總經理George Siosi Samuels的客人貢獻

本文探討了區塊鍊和AI如何相互補充以創建開創性的解決方案，重點關注實際應用

This post is a guest contribution by George Siosi Samuels, managing director at Faiā. See how Faiā is committed to staying at the forefront of technological advancements here.

這篇文章是Faiā董事總經理喬治·西奧西爾斯（George Siosi Samuels）的客人貢獻。看看Faiā如何致力於在這裡保持技術進步的最前沿。

In recent times, two transformative technologies—blockchain and artificial intelligence (AI)—have emerged as pillars of innovation across industries. With its decentralized structure, blockchain offers new-found transparency, immutability, and trust in digital transactions. Meanwhile, AI, powered by machine learning (ML) algorithms, excels at analyzing vast datasets, automating processes, and making intelligent decisions.

近來，兩種變革性技術（Blockchain和人工智能（AI））成為整個行業創新的支柱。憑藉其分散的結構，區塊鏈提供了新發現的透明度，不變性和對數字交易的信任。同時，由機器學習（ML）算法提供支持的AI擅長分析大量數據集，自動化流程並做出明智的決策。

While both technologies have made significant strides independently, their convergence represents new pathways of possibilities. The integration of blockchain and AI is not just a subject of theoretical discussion; it can potentially address some of the most pressing challenges in today’s digital landscape.

儘管兩種技術都獨立地取得了長足的進步，但它們的收斂代表了可能性的新途徑。區塊鍊和AI的整合不僅是理論討論的主題；它可能會解決當今數字景觀中一些最緊迫的挑戰。

For instance, as AI systems grow more complex and harder to “control,” blockchain provides a mechanism for ensuring accountability and traceability in decision-making processes through natural market forces. Scalable blockchain platforms like BSV and its Teranode upgrade are well-suited to support AI systems’ immense computational and transactional demands.

例如，隨著AI系統變得越來越複雜和難以“控制”，區塊鏈提供了一種機制，可確保通過自然市場力量在決策過程中的問責制和可追溯性。 BSV及其Teranode升級等可擴展區塊鏈平台非常適合支持AI Systems的巨大計算和交易需求。

This article explores how blockchain and AI can complement each other to create groundbreaking solutions, focusing on practical applications, barriers to adoption, and a roadmap for developing products that deliver measurable return on investment (ROI).

本文探討了區塊鍊和AI如何相互補充以創建開創性的解決方案，重點關注實際應用，採用障礙以及開發可衡量可測量投資回報（ROI）的產品的路線圖。

How blockchain and AI complement each other

區塊鍊和AI如何相互補充

Shared strengths and synergies

共同的優勢和協同作用

At their core, blockchain and AI offer complementary strengths. Blockchain’s decentralized architecture ensures transparency, immutability, and security, while AI brings advanced analytics, automation, and predictive capabilities. Together, these technologies can solve problems that neither could address alone. For example, blockchain can provide a tamper-proof record of AI training data, ensuring that models are built on accurate and unbiased datasets.

區塊鍊和AI的核心提供了互補的優勢。區塊鏈的分散體系結構可確保透明度，不變性和安全性，而AI帶來了高級分析，自動化和預測能力。這些技術共同解決了這兩個問題都無法解決的問題。例如，區塊鏈可以提供AI培訓數據的防篡改記錄，以確保模型建立在準確且無偏的數據集中。

Similarly, AI can enhance blockchain networks by optimizing consensus mechanisms or detecting fraudulent activities.

同樣，AI可以通過優化共識機製或檢測欺詐活動來增強區塊鍊網絡。

Bridging trust gaps in AI systems

在AI系統中彌合信任差距

One of AI’s most significant challenges is the lack of trust in its decision-making processes. As AI systems become more sophisticated, they often operate as “black boxes,” making decisions that are difficult to audit or explain. This opacity raises concerns about bias, fairness, and accountability. Blockchain addresses these issues by creating an immutable log of AI actions and decisions. Every step in the AI workflow—from data collection to model training and deployment—can be recorded on a blockchain, providing a transparent and auditable trail. Even popular platforms like Notion could leverage UTXOs to become an instant digital wallet platform.

AI最重要的挑戰之一是缺乏對決策過程的信任。隨著AI系統變得更加複雜，它們通常是“黑匣子”，做出難以審核或解釋的決策。這種不透明度引起了人們對偏見，公平和問責制的擔憂。區塊鏈通過創建AI行動和決策的不可變的日誌來解決這些問題。從數據收集到建模培訓和部署的AI工作流程中的每個步驟都可以記錄在區塊鏈上，提供透明且可審計的步道。甚至像概念這樣的流行平台也可以利用UTXOS成為即時數字錢包平台。

Scalable blockchain platforms, like BSV with its enterprise-grade features, are uniquely positioned to handle the high-volume data requirements of AI systems. With its unbounded capacity and low-cost transactions, BSV enables organizations to implement blockchain-based auditing tools without compromising performance.

可擴展的區塊鏈平台（如具有其企業級功能的BSV）的獨特位置，可以處理AI系統的大量數據要求。 BSV憑藉其無限能力和低成本交易，使組織能夠在不損害性能的情況下實施基於區塊鏈的審計工具。

Why blockchain is a must as AI becomes more unwieldy

為什麼區塊鍊是必須的，因為AI變得更加笨拙

As AI grows more complex, it becomes increasingly difficult for regulators to oversee and governments to control. Centralized entities may exploit this complexity to monopolize AI technologies, leading to ethical and operational risks. Blockchain democratizes access to AI by decentralizing control and fostering open ecosystems. For instance, decentralized autonomous organizations (DAOs) powered by AI can automate governance decisions while ensuring transparency and fairness.

隨著人工智能變得越來越複雜，監管機構越來越難以監督政府控制。集中實體可以利用這種複雜性來壟斷AI技術，從而導致道德和運營風險。區塊鏈通過分散控制和促進開放生態系統來使對AI的訪問民主化。例如，由AI支持的權力下放的自主組織（DAOS）可以在確保透明度和公平性的同時自動化治理決策。

Scalable blockchain architectures, such as those supported by Teranode, play a crucial role in managing the growing demands of AI applications. These innovations enable real-time monitoring and validation of AI-driven processes, ensuring that even the most advanced systems remain accountable and trustworthy.

可擴展的區塊鏈體系結構，例如由Teranode支持的架構，在管理AI應用程序不斷增長的需求中起著至關重要的作用。這些創新可以實時監視和對AI驅動流程的驗證，從而確保即使是最先進的系統也保持責任和值得信賴。

Practical applications of blockchain and AI integration

區塊鍊和AI集成的實際應用

Secure AI datasets

保護AI數據集

One of the biggest hurdles in AI development is accessing high-quality, secure datasets for training models. Traditional methods of data sharing often involve centralized intermediaries, which pose risks of data breaches and misuse. Blockchain offers a decentralized alternative, allowing organizations to share and monetize datasets securely. Smart contracts can automate licensing agreements, ensuring data providers are compensated fairly while maintaining control over their assets.

AI開發中最大的障礙之一是訪問用於培訓模型的高質量，安全的數據集。傳統的數據共享方法通常涉及集中式中介機構，這構成了數據洩露和濫用的風險。區塊鏈提供了分散的替代方案，使組織可以安全地共享和貨幣化數據集。智能合約可以自動化許可協議，確保數據提供商得到公平的補償，同時保持對其資產的控制。

Platforms like BSV, with their enterprise-focused features, make it feasible to store and manage massive AI datasets on-chain. For example, healthcare researchers can use blockchain to securely share patient data for AI-driven drug discovery, ensuring compliance with privacy regulations like HIPAA.

BSV之類的平台及其以企業為中心的功能，使其可行，可以在鏈上存儲和管理大量的AI數據集。例如，醫療保健研究人員可以使用區塊鏈安全地共享患者數據以發現AI驅動的藥物發現，從而確保遵守HIPAA等隱私法規。

Micropayments for AI services

AI服務的微付款

Blockchain also enables frictionless micropayment systems, which are essential for monetizing AI services. Imagine a world where users pay per API call or access AI-generated content through tokenized transactions. This model empowers creators and developers by eliminating intermediaries and reducing costs.

區塊鏈還可以實現無摩擦微付款系統，這對於通過AI服務獲利至關重要。想像一個世界，用戶通過令牌交易訪問API電話或訪問AI生成的內容。該模型通過消除中介和降低成本來賦予創作者和開發人員的能力。

Scalable blockchains like BSL support low-cost, high-speed micropayments, making them ideal for AI-driven applications. For instance, Internet of Things (IoT) devices could leverage AI to optimize energy consumption while using blockchain to settle payments in real-time.

BSL之類的可擴展區塊鏈支持低成本，高速微付款，使其非常適合AI驅動應用。例如，物聯網（IoT）設備可以利用AI來優化能源消耗，同時使用區塊鏈實時解決付款。

DAOs powered by AI

Daos由AI提供動力

DAOs represent another promising application of blockchain-AI integration. By combining AI’s predictive capabilities with blockchain’s decentralized governance, DAOs can automate decision-making processes while ensuring transparency and fairness. For example, an AI-powered DAO could analyze market trends and propose investment strategies,

DAO代表了區塊鏈-AI集成的另一種有希望的應用。通過將AI的預測能力與區塊鏈的分散治理相結合，Daos可以在確保透明度和公平性的同時自動化決策過程。例如，AI驅動的DAO可以分析市場趨勢並提出投資策略，