The integration of big data into criminal investigations is advancing significantly. Big data fundamentally involves the utilization of artificial intelligence technologies to analyse vast quantities of electronic information. The inherent features of big data contribute to minimizing subjectivity in investigative procedures and facilitate the evolution of criminal investigation methodologies and incident identification. However, challenges persist regarding the protection of rights and potential biases in data collection, as well as issues of subjectivity and the “black box effect” in data processing, alongside security concerns related to data storage. To address these challenges, it is essential to implement strategies such as enhancing the quality of big data, restricting the transparency of data processing methods and establishing a tiered protection framework for personal information.
