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Legal Reasoning in the Artificial Intelligence Era: Possibilities, Challenges, and Core Orientations in Domestic and International Law KCI 등재

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  • URLhttps://db.koreascholar.com/Article/Detail/450192
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이준국제법연구원 (YIJUN Institute of International Law)
초록

Artificial intelligence (AI) is increasingly reshaping legal practice by assisting with statutory interpretation, precedent retrieval, document analysis, and prediction of litigation outcomes. Yet the rise of AI in adjudication and legal services also raises deeper questions about the nature of legal reasoning itself. This article examines three core issues: first, the extent to which AI can replicate traditional legal reasoning methods, especially statutory interpretation, case-based reasoning, and value balancing; second, the principal risks associated with AI-assisted legal reasoning, including opacity, bias, accountability gaps, liability problems, ethical limits, and contextual misunderstanding; and third, the legal, technological, and socio-ethical orientations required to ensure that AI remains subject to human oversight. Drawing on domestic and international materials, including the EU AI Act, UNESCO and OECD principles, and comparative legal scholarship, the article argues that AI may strengthen legal decision-making only if it operates as a supportive instrument within a human-centered rule-of-law framework.

목차
I. Introduction
II. Possibilities, Challenges, and Core Orientations of Legal AI
    A. Can AI replicate traditional legal reasoning methods, such as statutory interpretation, case-based reasoning, and value balancing, which are the foundations of legal reasoning?
    B. Potential Risks to Transparency, Accountability, Liability,Data Bias, Ethical Limits and the Ability to UnderstandContext in Legal Reasoning When Using AI
    C. Legal, Technological, and Socio-Ethical Orientations of Legal Reasoning in the AI Era
III. Legal AI in International Aspects
    A. Solutions for the Development of New Research FieldsBased on Practical Demands
    B. Developing and Improving Policiesand Legal Frameworks on AI
    C. Reconceptualizing AI Application Research
IV. Conclusion
저자
  • Nguyen Minh Tuan(Associate Professor & Vice Dean in charge of Faculty of Theory, History of State and Law, University of Law, Vietnam National University-Hanoi.)
  • Do Thi Bao Yen(Ph.D. candidate at the University of Law, Vietnam National University- Hanoi) Corresponding author