The Application of Artificial Intelligence in the Analysis of Criminal Evidence

Abstract

With the rapid advancement of technology and the strengthening trend of the integration of artificial intelligence with the judicial system, its application in the field of criminal evidence has become a prominent topic of interest. The application of artificial intelligence in the analysis of criminal evidence holds significant importance. It not only helps reduce the burden on judicial personnel and increase their efficiency amid the rising number of cases, but also plays a prominent role in preventing wrongful convictions and safeguarding procedural justice. Moreover, it is feasible at both the policy and practical levels. However, its application also faces numerous challenges, such as the difficulty in simulating human irrational thinking, deficiencies in deep learning algorithms, and the potential to trigger conflicts of interest and real-world risks. To address these issues, several strategies can be explored, such as reasonably limiting the scope of artificial intelligence applications, adhering to the principles of assistance, limitation, and refutability, enhancing the support of authoritative judicial data, improving algorithm transparency and interpretability, appropriately strengthening the rights of the accused, and balancing criminal prosecution with the protection of human rights. Through these measures, the aim is to harness the advantages of artificial intelligence, ensuring judicial fairness and efficiency while avoiding the abuse of technology and the emergence of risks, thus achieving the goal of empowering the judiciary with technology.