challenges for police in using artificial intelligence: focusing on face recognition and identity verification

The role of artificial intelligence (ai) in the field of security and law enforcement is rapidly increasing. while focusing on its technical, legal, and ethical challenges, despite the significant benefits of ai in crime prediction, data analysis, and increasing police efficiency, the use of these technologies, particularly in the areas of face recognition and identity verification, has raised major concerns. technical challenges, such as the low accuracy of algorithms in real-world conditions and the potential for false positive and false negative errors, can lead to wrongful identifications and arrests. furthermore, legal issues like violation of privacy and racial and gender bias stemming from bias in training data have been raised as serious obstacles to the widespread adoption of these technologies. concerns related to the leakage of sensitive data and the lack of transparency regarding the collection and use of citizens biometric information are other challenging issues in this domain.