用区块链让AI决策可追溯，提升透明度与信任
Blockchain As a Platform For Artificial Intelligence (AI) Transparency
- 用区块链记录AI决策过程，确保不可篡改
- 实现数据来源与模型行为的全程可审计
- 适合监管严格领域的AI系统开发者
随着人工智能系统日益复杂和自主，透明性与问责性问题愈发突出。AI决策的‘黑箱’特性限制了利益相关方的理解、信任与验证能力，尤其在医疗、金融和自动驾驶等高风险领域。区块链凭借其去中心化、不可篡改和透明的特性，为提升AI透明度与可审计性提供了潜在解决方案。本文探讨将区块链与AI结合，以增强决策可追溯性、数据来源证明和模型责任认定。通过利用区块链作为不可篡改的记录系统，使AI决策更具可解释性，促进用户信任与合规性。然而，可扩展性、集成复杂性和计算开销仍是主要挑战。研究综述现有工作，提出一个区块链增强型AI透明性框架，分析实际应用、优势与局限。结果表明，区块链有望成为保障AI系统责任、伦理及符合监管标准的基础技术。
原文摘要 · Abstract (English)
As artificial intelligence (AI) systems become increasingly complex and autonomous, concerns over transparency and accountability have intensified. The "black box" problem in AI decision-making limits stakeholders' ability to understand, trust, and verify outcomes, particularly in high-stakes sectors such as healthcare, finance, and autonomous systems. Blockchain technology, with its decentralized, immutable, and transparent characteristics, presents a potential solution to enhance AI transparency and auditability. This paper explores the integration of blockchain with AI to improve decision traceability, data provenance, and model accountability. By leveraging blockchain as an immutable record-keeping system, AI decision-making can become more interpretable, fostering trust among users and regulatory compliance. However, challenges such as scalability, integration complexity, and computational overhead must be addressed to fully realize this synergy. This study discusses existing research, proposes a framework for blockchain-enhanced AI transparency, and highlights practical applications, benefits, and limitations. The findings suggest that blockchain could be a foundational technology for ensuring AI systems remain accountable, ethical, and aligned with regulatory standards.
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