Artificial Intelligence in Detecting and Mitigating Online Child Sexual Abuse: Approaches and Solutions

Title

Artificial Intelligence in Detecting and Mitigating Online Child Sexual Abuse: Approaches and Solutions

Creator

Ali, Khan Afrin Riyasat; Somu, C.S.

Description

Previous research papers have discussed whether Artificial Intelligence (AI) -based tools like Chat Bots, Law-U Model, and Sweetie. 20 have the potential to mitigate online child sexual abuse. The literature review indicates that AI tools promise good intervention and prevention strategies for several tech-based companies like Google and Microsoft. However, there is a lack of systematic study on AI tools' potential uses, limitations, and legal risks. This paper conducts a systematic literature review to explore the uses and limitations of AI-based interventions in combating online child sexual abuse. It explores the legal and ethical risks of deploying such technological innovations from the viewpoint of data protection, privacy, and security. The authors use the PRISMA technique and thematically answer the research questions. Data are collected from reliable sources such as Statista and the World Health Organisation. The findings of this paper highlight the potential uses of AI for law agencies, forensic experts, victims, and technology companies. The research reports the absence of a sufficient legal framework for the governance and accountability of AI tools. The findings further indicate the need for clarification in the law regarding the legal status of AI tools like Sweetie 2.0. Lastly, this paper offers a framework for harmonizing AI usage with human rights standards. 2025 IEEE.

Source

Proceedings - 2025 2nd International Conference on Intelligent Computing and Robotics, ICICR 2025;pp.464-471

Date

01-01-2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Artificial Intelligence; Data Privacy; Online Child Sexual Abuse; Security and PRISMA

Coverage

Ali K.A.R., Christ University, Bengaluru, India; Somu C.S., Christ University, Bengaluru, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833154429-4;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICICR65456.2025.00087

https://www.scopus.com/pages/publications/105018744795?origin=resultslist