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Artificial Intelligence (AI) and Robotics in Law Enforcement
Wed, Nov 13, 9:30 to 10:50am, Pacific H - 4th LevelSession Submission Type: Complete Thematic Panel
Abstract/Description
This session delves into cutting-edge technologies transforming crime prevention and law enforcement. It explores AI's role in crime prediction, addressing ethical concerns and biases. Researchers discuss VR's integration into police training, examining its impact on cognitive development and real-world performance. Additionally, the panel explores the use of dual-function patrol robots, analyzing their effectiveness in enhancing operational efficiency, public safety, and ethical considerations within law enforcement contexts.
Sub Unit
Individual Presentations
Application and Development of AI in Criminal Justice Practice for Crime Prevention: AI Crime Prediction - Jisun Choi, Korean Institute of Criminology and Justice
Virtual Reality and Police Training: Developing Greater Neuroplasticity for the Officer’s Functional Role - Sean Blinn, University of Scranton; Charles Sinchul Back, University of Scranton
Enhancing Urban Public Safety: A Pilot Study on Dual-Function Patrol Robots in Law Enforcement - Kyung-Shick Choi, Boston University; Insun Park, University of Akron; Charles Sinchul Back, University of Scranton; Lou Chitkushev, Boston University; Mike Toro-Alvarez, Southern Illinois University Carbondale
An Effectiveness of the Integration of Robotics into Tactical Team Operation - Charles Sinchul Back, University of Scranton; Jennifer LaPrade, Missouri State University; Byeongoh Ahn, Republic of Korea Naval Academy
Chair
Discussant
Organized by a Division or external group?
The Korean Society of Criminology in America (KOSCA)