Abstract
The rapid advancements in generative artificial intelligence has introduced new challenges in the production and distribution of synthetic child sexual abuse material (CSAM). AI has the capabilities of creating highly realistic imagery and videos, which raises serious legal and ethical concerns, increasing the risk of harm, exploitation, and revictimization.
This paper discusses the legal improvements needed in order to lower the change of legal loopholes, how digital forensic analyst use advanced tools to identify and investigate synthetic material, and different methods to start the reduction of synthetic CSAM.
Faculty Advisor/Mentor
Phill Mann
Document Type
Paper
Disciplines
Computer Law | Conflict of Laws | Criminal Law | Criminology and Criminal Justice | Cybersecurity | Evidence | Forensic Science and Technology
DOI
10.25776/9y6a-wq21
Publication Date
4-10-2026
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Included in
Computer Law Commons, Conflict of Laws Commons, Criminal Law Commons, Criminology and Criminal Justice Commons, Cybersecurity Commons, Evidence Commons, Forensic Science and Technology Commons
AI's Double Edged Sword: Fighting Against Synthetic CSAM
The rapid advancements in generative artificial intelligence has introduced new challenges in the production and distribution of synthetic child sexual abuse material (CSAM). AI has the capabilities of creating highly realistic imagery and videos, which raises serious legal and ethical concerns, increasing the risk of harm, exploitation, and revictimization.
This paper discusses the legal improvements needed in order to lower the change of legal loopholes, how digital forensic analyst use advanced tools to identify and investigate synthetic material, and different methods to start the reduction of synthetic CSAM.