The application of data in current digital courts has advanced to a new stage, that is, to dig deeper into the quantity and quality of data and fully exploit the value of data. However, the lag between technology empowerment and institutional adaptation gives rise to multiple risks: technically, there are hidden dangers such as multiple paths of data leakage, algorithmic black box decision-making bias, and abuse of deepfake technology; ethically, there is a value conflict between data privacy protection and development and utilization. To address these challenges, it is necessary to build a classified and graded protection system to lay a solid security foundation, and at the same time establish an ethical review mechanism and a dynamic risk assessment system to form a governance framework that combines technical safeguards and institutional regulations.
Ming Liu (Tue,) studied this question.
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