摘 要
随着科技的迅猛发展，人工智能技术被广泛应用于多个领域，包括具有深远社会影响的司法系统。本文首先概述了研究人工智能在司法中应用的背景和意义，并分析了国内外的研究现状以及研究的目。接着详细介绍了人工智能在司法领域的具体应用，如智能辅助审判系统、法律文书自动生成、风险评估与管理以及智能语音识别与笔录自动化等，进而分析了人工智能对司法公正的正面影响包括提高审判效率与准确性、促进法律资源的公平分配以及优化司法决策的透明度。然而，文章也指出了人工智能可能带来的负面影响，例如隐私权侵犯、责任归属难题和对人类判断的替代风险。进一步，本文探讨了人工智能在司法实践中面临的挑战，包括算法偏见与歧视、隐私权与数据保护的问题、责任归属与追责难题以及技术复杂性与法官理解能力的不匹配。针对这些挑战，本文提出了一系列应对措施，旨在增强算法的透明度和可解释性，加强数据保护和隐私立法，明确人工智能在司法中的责任框架，并提升法官及法律从业者对AI技术的知识水平。通过这些措施的实施，可以确保人工智能技术在促进司法效率的同时，也能维护司法的公正性和透明度。
关键词：人工智能；司法公正；算法透明度；数据保护
The influence of artificial intelligence on judicial justice and its countermeasures
英文人名
Directive teacher:×××
Abstract：With the rapid development of technology, artificial intelligence technology has been widely applied in multiple fields, including the judicial system with profound social impact. This article first outlines the background and significance of studying the application of artificial intelligence in the judiciary, and analyzes the current research status and research ob jectives at home and abroad. Subsequently, a detailed introduction was given to the specific applications of artificial intelligence in the judicial field, such as intelligent assisted trial systems, automatic generation of legal documents, risk assessment and management, as well as intelligent speech recognition and record automation. Furthermore, the positive impact of artificial intelligence on judicial fairness was analyzed, including improving trial efficiency and accuracy, promoting fair distribution of legal resources, and optimizing transparency in judicial decision-making. However, the article also points out the potential negative impacts that artificial intelligence may bring, such as privacy infringement, difficulty in attribution of responsibility, and substitution risks for human judgment. Furthermore, this article explores the challenges faced by artificial intelligence in judicial practice, including algorithmic bias and discrimination, privacy and data protection issues, difficulty in attribution and accountability, and the mismatch between technological complexity and judge's understanding ability. In response to these challenges, this article proposes a series of measures aimed at enhancing the transparency and interpretability of algorithms, strengthening data protection and privacy legislation, clarifying the responsibility fr amework of artificial intelligence in the judiciary, and improving the knowledge level of judges and legal practitioners on AI technology. Through the implementation of these measures, it can be ensured that artificial intelligence technology can promote judicial efficiency while also maintaining the fairness and transparency of the judiciary.
Key words: Artificial intelligence; Judicial fairness; Algorithm transparency; data protection
目 录
一、引言 1
二、人工智能在司法中的具体应用 1
（一）智能辅助审判系统 1
（二）法律文书自动生成 1
（三）风险评估与管理 2
三、人工智能对司法公正的影响 2
（一）正面影响 2
（二）负面影响 3
四、人工智能对司法公正的挑战 4
（一）算法偏见与歧视 4
（二）隐私权与数据保护 4
（三）责任归属与追责难题 5
（四）技术复杂性与法官理解能力 5
五、应对人工智能对司法公正挑战的措施 5
（一）增强算法透明度和可解释性 5
（二）加强数据保护和隐私立法 6
（三）明确人工智能在司法中的责任框架 6
（四）提升法官及法律从业者的AI知识培训 7
结论 7
参考文献 8
致谢 8
