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postgraduate thesis: The Impact of generative AI on cybercrime

TitleThe Impact of generative AI on cybercrime
Authors
Issue Date2024
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Chong, W. [莊詠筠], Li, Y. [李雨佳], Xu, R. [徐然]. (2024). The Impact of generative AI on cybercrime. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
AbstractThis study aims to explore the role of generative artificial intelligence (AI) in facilitating cybercrime and its supportive role in regulating crime. We employ a variety of research methods, including secondary data analysis, news report research, literature review, legal and regulatory studies, and semi-structured qualitative interviews. Through these methods, this study analyzes in detail how the emergence of generative AI affects the motivations of offenders, the likelihood of victimization, and the response strategies of legal regulations within the framework of Routine Activity Theory. The study also finds that generative AI not only enhances the technological capabilities and anonymity of offenders but also increases the risk of victimization for ordinary users. Additionally, it highlights some inherent problems with the current responses of regulators, such as legislation and platform safeguards, which need to be addressed immediately. At the same time, from another perspective, generative AI has shown significant potential in the process of legal regulation and law enforcement to assist in identifying and preventing criminal behaviors. Based on a comparative study of numerous AI laws and regulations at both domestic and international levels, we put forward several recommendations aimed at providing a reference for the development of future laws and regulations. Moreover, this study innovatively predicts possible new forms of generative AI in cybercrime in the future, such as the combination of online and offline crimes. Through a comprehensive analysis, this study not only reveals the shortcomings of existing regulatory mechanisms but also provides improvement measures to enhance the law's ability to respond to generative AI-related crimes. This study offers important insights for criminological and legal academics, policymakers, and law enforcement agencies. It emphasizes the need for multi-party collaboration to address the challenges posed by emerging technologies and calls for a closer interaction between technological evolution and legal supervision.
DegreeMaster of Social Sciences
SubjectComputer crimes
Artificial intelligence
Dept/ProgramCriminology
Persistent Identifierhttp://hdl.handle.net/10722/352849

 

DC FieldValueLanguage
dc.contributor.authorChong, Wing-kwan-
dc.contributor.author莊詠筠-
dc.contributor.authorLi, Yujia-
dc.contributor.author李雨佳-
dc.contributor.authorXu, Ran-
dc.contributor.author徐然-
dc.date.accessioned2025-01-08T06:46:38Z-
dc.date.available2025-01-08T06:46:38Z-
dc.date.issued2024-
dc.identifier.citationChong, W. [莊詠筠], Li, Y. [李雨佳], Xu, R. [徐然]. (2024). The Impact of generative AI on cybercrime. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/352849-
dc.description.abstractThis study aims to explore the role of generative artificial intelligence (AI) in facilitating cybercrime and its supportive role in regulating crime. We employ a variety of research methods, including secondary data analysis, news report research, literature review, legal and regulatory studies, and semi-structured qualitative interviews. Through these methods, this study analyzes in detail how the emergence of generative AI affects the motivations of offenders, the likelihood of victimization, and the response strategies of legal regulations within the framework of Routine Activity Theory. The study also finds that generative AI not only enhances the technological capabilities and anonymity of offenders but also increases the risk of victimization for ordinary users. Additionally, it highlights some inherent problems with the current responses of regulators, such as legislation and platform safeguards, which need to be addressed immediately. At the same time, from another perspective, generative AI has shown significant potential in the process of legal regulation and law enforcement to assist in identifying and preventing criminal behaviors. Based on a comparative study of numerous AI laws and regulations at both domestic and international levels, we put forward several recommendations aimed at providing a reference for the development of future laws and regulations. Moreover, this study innovatively predicts possible new forms of generative AI in cybercrime in the future, such as the combination of online and offline crimes. Through a comprehensive analysis, this study not only reveals the shortcomings of existing regulatory mechanisms but also provides improvement measures to enhance the law's ability to respond to generative AI-related crimes. This study offers important insights for criminological and legal academics, policymakers, and law enforcement agencies. It emphasizes the need for multi-party collaboration to address the challenges posed by emerging technologies and calls for a closer interaction between technological evolution and legal supervision. -
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshComputer crimes-
dc.subject.lcshArtificial intelligence-
dc.titleThe Impact of generative AI on cybercrime-
dc.typePG_Thesis-
dc.description.thesisnameMaster of Social Sciences-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineCriminology-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2024-
dc.identifier.mmsid991044889208903414-

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