Author(s)

Rui Shen ¹

Affiliation(s)

¹ BTBU School of Law, Beijing Technology and Business University, Beijing, China

Corresponding Author

Rui Shen

ABSTRACT

China is actively developing its intelligent court system, which incorporates artificial intelligence technology into judicial trial proceedings. The aim is to alleviate the burden of a high number of cases and personnel shortages while also enhancing the quality and efficiency of the trial process. However, this initiative also presents several drawbacks, which pose significant challenges to attaining judicial justice. The development of artificial intelligence relies on training data, which can lead to defects in AI systems due to factors such as inadequate quantity, lack of structure, algorithmic discrimination, algorithmic black box, and privacy leakage. Introducing synthetic data into artificial intelligence trials is critical because of its low cost, diversity, and good security, which can compensate for judicial data's limitations in various ways. We can successfully avoid the hazards associated with existing artificial intelligence in trial activities by substituting the original judicial data with synthetic data, thereby enhancing digital justice and judicial fairness.

KEYWORDS

Synthetic Data, Judicial Artificial Intelligence, Judicial Justice

CITE THIS PAPER

Rui Shen, Application of Synthetic Data in Artificial Intelligence Trials from the Perspective of Judicial Justice. Science of Law Journal (2024) Vol. 3: 180-192. DOI: http://dx.doi.org/DOI: 10.23977/law.2024.030324.

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