为法律领域采用人工智能优先考虑挑战:系统审查和专家驱动的AHP分析
Sihyun Kim1, Sangyoon Yi1, Sung-Pil Park1
1Graduate School of Future Strategy, KAIST, Daejeon, Republic of Korea.
PloS one
|June 24, 2025
概括
法律挑战,特别是责任,是采用人工智能 (AI) 在法律中的最大障碍. 本研究确定了引导AI整合到法律部门的关键因素.
科学领域:
- 法律技术 法律技术
- 人工智能伦理学 人工智能伦理学
- 信息系统信息系统信息系统
背景情况:
- 由于技术的快速进步,法律领域面临着日益复杂的挑战.
- 整合人工智能 (AI) 在法律实践中提出了独特的采用挑战.
- 系统审查对于理解这些多方面的挑战至关重要.
研究的目的:
- 识别和评估影响法律部门采用人工智能的关键因素.
- 将这些挑战分类为法律,技术和社会伦理层面.
- 通过专家的见解来确定这些挑战的相对重要性.
主要方法:
- 系统的文献审查遵循PRISMA指南.
- 识别和提取影响人工智能采用11个关键因素.
- 分析层次过程 (AHP) 的应用,由八位领域专家提供了投入.
主要成果:
- 法律方面成为AI在法律中采用最重要的挑战类别.
- 在所有分析的因素中,责任被确定为最重要的关注点.
- 这些因素被分为法律,技术和社会伦理等方面.
结论:
- 为了成功整合人工智能,必须主动解决法律问题,特别是责任问题.
- 这些发现为法律专业人士和技术开发人员提供了可行的指导方针.
- 这项研究弥合了人工智能技术和法律实践之间的差距,促进了未来的采用.
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