A Survey of Generative AI for Detecting Pedophilia Crimes

The complexity for law enforcement and child protection agencies has been exacerbated by the proliferation of child sexual exploitation channels, facilitated by digital platforms and social media. Generative AI’s ability to analyze large datasets, recognize patterns, and generate new content makes it one of the potential solutions for detecting suspicious behavior and indicators of child sexual exploitation. This paper discusses the potential of generative AI to aid in the fight against pedophilic crimes by reviewing current research, methodologies, and challenges, as well as future directions and ethical concerns. Although the potential benefits are significant, applying AI to such a sensitive area presents numerous challenges, including privacy concerns, algorithmic bias, and potential misuse, which must be addressed carefully.

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Publication Details

Journal
Applied Sciences
Published
2025-06-24
DOI
https://doi.org/10.3390/app15137105
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
0.00
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article

A Survey of Generative AI for Detecting Pedophilia Crimes

Jorge Bernardino, Rodrigo Rocha Silva, Filipe Silva
Applied Sciences
Digital and Cyber Forensics
article

A Survey of Generative AI for Detecting Pedophilia Crimes

Jorge Bernardino, Rodrigo Rocha Silva, Filipe Silva
article en

Abstract

The complexity for law enforcement and child protection agencies has been exacerbated by the proliferation of child sexual exploitation channels, facilitated by digital platforms and social media. Generative AI’s ability to analyze large datasets, recognize patterns, and generate new content makes it one of the potential solutions for detecting suspicious behavior and indicators of child sexual exploitation. This paper discusses the potential of generative AI to aid in the fight against pedophilic crimes by reviewing current research, methodologies, and challenges, as well as future directions and ethical concerns. Although the potential benefits are significant, applying AI to such a sensitive area presents numerous challenges, including privacy concerns, algorithmic bias, and potential misuse, which must be addressed carefully.

Applied SciencesVol. 15(13)
Polytechnic Institute of Coimbra (PT), São Paulo State Technological College (BR), University of Coimbra (PT), Universidade de Mogi das Cruzes (BR)
Openalex Percentile: Top 79%
Digital and Cyber Forensics
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