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Criminal Justice Responses to Crimes in the Age of AI & Robotics
Fri, Nov 14, 11:00am to 12:20pm, Independence Salon G - M4Session Submission Type: Complete Thematic Panel
Abstract/Description
This thematic panel addresses digital crime through four key studies. "Internet of Things (IoT) National Training and Technical Assistance Program" tackles IoT vulnerabilities and law enforcement training needs. "Unmasking the ‘Pig Butchering’ Financial Scam Through Blockchain Forensics" uses blockchain analysis to combat cryptocurrency fraud. "Public Attitudes and Justifications on Illegal Streaming Sites in South Korea" explores piracy justifications via neutralization theory. "Exploring AI-powered Credit Card Fraud Detection Models" applies AI guardianship to reduce credit card fraud. The panel offers interdisciplinary insights for tackling digital threats.
Sub Unit
Individual Presentations
Internet of Things (IoT) National Training and Technical Assistance Program - Raymond Choo, University of Texas at San Antonio; Kyung-Shick Choi, Boston University; Lou Chitkushev, Boston University; Oren Upton, University of Texas at San Antonio; Jean Costello, University of Texas at San Antonio
Public Attitudes and Justifications on Illegal Streaming Sites in South Korea: A Content Analysis - Sinyong Choi, Kennesaw State University; Bora Jung, University of Nevada; Sungmin Park, University of Nevada
Unmasking the “Pig Butchering” Financial Scam Through Blockchain Forensics: A Global Financial Threat - Kyung-Shick Choi, Boston University; Sujung Cho, Southern Illinois University Carbondale; Peyton Henry, Boston University; Erin Stephens, Boston University
Exploring AI-powered Credit Card Fraud Detection Models: An Application of Capable Guardianship - Charles Sinchul Back, The University of Scranton; Raymond Partin, University of Alabama; Byeongoh Ahn, Republic of Korea Naval Academy; Buse Onat, The University of Scranton
Chair
Organized by a Division or external group?
The Korean Society of Criminology in America (KOSCA), Cybercriminology Division