STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Analysis and Recommendations on Data Involved in Legal Artificial Intelligence
DOI: https://doi.org/10.62517/jel.202414301
Author(s)
Xiaofei Wang
Affiliation(s)
School of Law, China Jiliang University, Huangzhou, Zhejiang, China
Abstract
This paper discusses the data problems arising from the application of artificial intelligence to legal counseling, with the purpose of revealing how to effectively use the data and avoid data risks during the operation of artificial intelligence. In order to achieve this goal, the first part of this paper analyzes the operation mechanism of artificial intelligence and the status quo of applying it to the legal field. The second part of the paper starts from the link of its operation, describes the specific data problems, such as the informed consent of the data subject, the safety of the data training, etc., and carries out a legal analysis. After this analysis, the last part of the paper gives relevant suggestions from the aspects of legislation, ethics, data grading, and risk prediction. Relevant suggestions are given.
Keywords
AI; Legal Advice; Data Security; Risk; Information Interaction
References
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