Risks of Big Data Suspicion in Criminal Prosecution (犯罪追诉数字化)

The Chinese paper examines the profound shift from traditional criminal suspicion—based on direct, observable "small data" and human judgment—to digital suspicion, which relies on vast "big data" and predictive Artificial Intelligence. This technological advancement transforms policing from reactive to predictive, analyzing a person's digital twin to anticipate crime rather than respond to concrete actions. A critical danger of this new reality is suspicion dilution, where the sheer volume of external, often irrelevant background data overwhelms and marginalizes the specific core facts of a case, thereby threatening the principle of innocent until proven guilty. To safeguard legal rights, the source proposes a solution: supplementing the standard question of "level of suspicion" with an assessment of information density, ensuring that intrusive measures are justified only by evidence closely tied to the alleged act.

The Evolution of Suspicion Assessment in the Digital Context of Criminal Prosecution and the Response of Procedural Law to It
Pei Wei ∗
犯罪追诉数字化背景下嫌疑判断的
演化与程序法规制的因应
裴 炜 ∗
Legal Studies, 2025, Issue 4
法学研究 2025 年第 4 期

#predictiveintelligence
#digitalsuspicion
#digitaltwin
#informationdensity
#suspects