人工智能技术在情报分析中的广泛运用，为决策与服务带来便捷的同时，智能算法所带来的风险问题也尤为突出，而对智能情报分析算法风险治理机制的创新研究是系统化、科学化防范与化解算法带来安全风险的主要手段，具有重要的现实意义。文章研究阐释了智能情报分析算法所面临的风险，从用户层、机制层和过程层三个视角分析了区块链赋能智能情报分析算法风险治理框架，并最终形成将区块链与智能情报分析算法风险相融合的分析治理机制。从共识协议赋能算法风险预警机制、智能合约赋能算法风险监测机制、激励规则赋能算法风险自治机制和时间戳溯源赋能算法风险回溯机制四个方面分析机制核心内涵，旨在为政府及情报工作机构算法风险治理提供决策与借鉴。

The widespread application of artificial intelligence technology in intelligence analysis, it brings convenience to decision-making and services, but the risk problem brought by intelligent algorithms is also particularly prominent. The innovative research on the risk management mechanism of intelligent intelligence analysis algorithms is systematic, The main means of scientifically preventing and resolving the security risks brought by algorithms have important practical significance. The risks faced by intelligent intelligence analysis algorithms are studied and explained. the risk governance framework of blockchain empowerment intelligent intelligence analysis algorithms is analyzed from three perspectives: user level, mechanism level and process level. The risk of blockchain and intelligent intelligence analysis algorithms is combined to form a governance mechanism. Analyzes the core connotation of the mechanism from four aspects: the consensus agreement enabling algorithm risk early warning mechanism, the smart contract enabling algorithm risk monitoring mechanism, the incentive rule enabling algorithm risk autonomy mechanism and the time stamp enabling algorithm risk backtracking mechanism, aiming to provide decision-making and reference for the government and the intelligence work organization algorithm risk governance.