摘要
2024年9月28日,“数据治理、人工智能安全监管与法治保障”学术研讨会暨四川省法学会人工智能与大数据法治研究会2024年年会在成都举办。随着深度学习、自然语言处理技术的突破,人工智能在处理法律问题上的能力显著提升,立法成本、司法效率、裁判结果预测等均得到充分改善。结构化、规范化的法律数据为训练高效的人工智能模型提供了丰富素材,但法律数据的敏感性要求严格的数据隐私和安全保护。推动人工智能在法律领域的合法、合理使用,需要在立法层面确定立法方向、制定明确的规则和标准;在司法层面完善人工智能赋能司法的实现路径,实现由技术可信到司法信任的递进;在跨学科层面推进人工智能法学与计算机科学、社会学、伦理学等学科的交叉融合,更全面地分析和解决复杂法律问题,促进技术进步与社会公平之间的平衡。
On September 28,2024,the academic symposium on"Data Governance,AI Security Regulation,and Legal Protection"and the 2024 Annual Meeting of Sichuan Law Society Artificial Intelligence and Big Data Rule of Law Research Association were held in Chengdu.The meeting featured the following key issues.Advances in deep learning and natural language processing have significantly enhanced artificial intelligence's capacity to address legal issues,improving legislation costs,judicial efficiency,and adjudication outcome prediction.Structured,standardized legal data offers valuable training material for AI models but demands rigorous privacy and security safeguards due to its sensitivity.To promote lawful and reasonable AI adoption in law,legislative frameworks must establish clear rules and standards.Judicial systems should refine AI-empowered justice pathways to advance from technological credibility to judicial trust.Interdisciplinary collaboration between AI jurisprudence,computer science,sociology,and ethics is crucial to holistically address complex legal challenges and balance technological progress with societal fairness.
作者
罗娟
张邦铺
LUO Juan;ZHANG Bang-pu(School of Law and Sociology,Xihua University,Chengdu,Sichuan,610039,China)
出处
《西华大学学报(哲学社会科学版)》
2025年第2期30-36,共7页
Journal of Xihua University(Philosophy & Social Sciences)
基金
四川省哲学社会科学重点研究基地四川省犯罪防控研究中心项目“社会治理视野下民事诉讼制度现代化研究”(项目编号:FZFK23-01)
西华大学研究生科创竞赛项目“生成式人工智能数据风险的逻辑进程与法律治理”(项目编号:YK20240088)。
关键词
人工智能法学
数据治理
智能司法
利益平衡
artificial intelligence jurisprudence
data governance
smart justice
balance of interests
作者简介
第一作者:罗娟,女,副教授,博士,主要从事数据法学、人工智能法学研究。
