aceAI-generated child sexual abuse material: what’s the harm?
Abstract The development of generative artificial intelligence (AI) tools capable of producing wholly or partially synthetic child sexual abuse material (AI CSAM) presents profound challenges for child protection, law enforcement, and societal responses to child exploitation. While some argue that the harmfulness of AI CSAM differs fundamentally from other CSAM due to a perceived absence of direct victimization, this perspective fails to account for the range of risks associated with its production and consumpti…
Generative AI tools capable of producing wholly or partially synthetic CSAM increase risks of revictimization of known survivors, creation of synthetic material depicting children not previously abused, and facilitation of grooming, coercion, and sexual extortion.
Findings are based on a narrative review and conceptual synthesis presented as a high-level primer, not on new empirical measurement of prevalence or causal effects.
Evidence
- Peer-reviewedAI & SOCIETY2026-04-06
How should this claim be treated?
Truvace Impact Record TRV-2026-0157, v1: “AI-generated child sexual abuse material: what’s the harm?.” Truvace, 2026-07-13. /record/TRV-2026-0157 (accessed at citation time). sha256 ccbe25ccff2fb45a…
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