Using artificial intelligence in U.S law enforcement-a review

• Main Authors: Bag, Akash, Shashikant, Saurav, Mishra, Prateek, Pradhan, Ashika
• Format: Conference Proceeding
• Language: English
• Subjects: Artificial intelligence; Law enforcement; Legislation; Police; Vehicle identification
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0179536

The adoption of technology by law enforcement agencies in the United States has changed the way they operate. Over 70% of agencies use some type of technology, like as predictive policing, license plate scanners, in-car video, and/or social media, according to a 2011 survey of more than seventy agencies in the United States, ranging in size from 10 to 13,088 officers (with an average of 949). Body-worn cameras and drones have been employed by law enforcement officers who have observed the advancement of technology over the last two decades. All of these advancements have had a significant impact on policing techniques. This Particular paper will explore how the U.S Law Enforcement agencies can successfully incorporate Artificial Intelligence by keeping an eye on the limitations and challenges of implementing (AI). One of the major challenges that the agencies going to face is a dearth of first-hand information about Artificial Intelligence in the current setting, particularly in the U.S and its legal consideration. This paper will examine how efficiently the police force of Dubai has implemented AI systems which different foreign agencies. The paper also examines how the police of Dubai create a model framework that can be used by the Law Enforcement agencies in the U.S to incorporate a culture of using advanced AI technologies into their daily practices.