Generative Al and child sexual abuse material (CSAM): A novel risk to the Sri Lankan community

dc.contributor.authorPabasara, R. P.
dc.contributor.authorHewawasam, H. P. K. N.
dc.date.accessioned2025-11-10T06:42:09Z
dc.date.issued2025
dc.description.abstractBackground: The rapid growth of Artificial Intelligence (AI) has made online child sexual abuse an emerging social problem. Child Sexual Abuse Material (CSAM) is being produced using Al and includes stripping images of children, using text prompts to generate CSAM, and creating pedophile manuals. Though prior research has focused on online child sexual abuse, little attention is paid to the interplay between Generative AI and CSAM, especially in developing countries. Hence, the objective of this study was to analyze the potential risk Sri Lanka has on Al-generated CSAM and suggest working solutions based on the international response. Method: Adhering to qualitative research design, a systematic review was conducted on papers concerning online child sexual abuse, local legislation, and eight British Broadcasting Corporation (BBC) reports (Feb 2024 Feb 2025) on Al-generated CSAM. Simultaneously, thematic analysis was performed to recognize the local risk and viable solutions. Results: The study identified three risk factors for AI-generated CSAM in Sri Lanka, including the non-regulated use of Generative AI, lack of awareness, and increased amount of child sexual abuse in the post-pandemic period. Meanwhile, two international responses were identified concerning this issue. This includes the pledge from tech giants to crack down this via Safety by Design principles, and the UK's decision to outlaw AI-generated CSAM. Other than provisions on obscene publications, and child sexual abuse, no specific local provisions on Al-generated CSAM were identified. However, Sri Lanka's National Strategy on Al was found to be a foundation for extending specific solutions on demand. Conclusions: Incorporating this concept into national policies on children and AI will foresee the danger ahead. While updating legislation, including the Penal Code and Computer Crime Act, with specific provisions for Al-generated CSAM, the regulation of Generative Al is recommended. Hence, promoting responsible digital usage will create a safer digital space for children.
dc.identifier.citationPabasara, R. P. , & Hewawasam, H. P. K. N. (2025) . Generative Al and child sexual abuse material (CSAM): A novel risk to the Sri Lankan community. International Conference on Child Protection 2025, University of Kelaniya, Sri Lanka. (p. 116).
dc.identifier.urihttp://repository.kln.ac.lk/handle/123456789/30197
dc.publisherInternational Conference on Child Protection 2025, University of Kelaniya, Sri Lanka.
dc.subjectArtificial Intelligence
dc.subjectchild sexual abuse material
dc.subjectgenerative AI
dc.titleGenerative Al and child sexual abuse material (CSAM): A novel risk to the Sri Lankan community
dc.typeArticle

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