Is AI Sexual Content an Unregulated Epidemic?
Deepfake porn and AI-generated child-like content have exploded across the internet, triggering a legal and moral panic. Tech libertarians push for decentralization; feminists and parents demand criminalization and strict platform liability. A fight between innovation laws and the right to digital safety.
Evidence (4)
This report by Home Security Heroes documents a 550% increase in deepfake videos since 2019, with 98% of them being non-consensual sexual content. It states that 99% of deepfake targets are women, and the total number of deepfake videos online has reached over 100,000. The report also notes the rapid growth of AI-generated child sexual abuse material (CSAM), with over 20,000 new images found in a single month in 2023, underscoring the epidemic's scale and the urgency for platform liability and legal enforcement.
This BBC News investigation highlights expert warnings that AI-generated child sexual abuse material (CSAM) is becoming increasingly realistic and accessible, with some images indistinguishable from real children. The article cites the Internet Watch oundation (IW), which reported over 2,500 AI-generated CSAM images on one dark web forum alone in a single month. Experts argue that this content normalizes abuse and creates a psychological victim for each real child depicted, reinforcing the pro-side argument that AI sexual content is an unregulated epidemic requiring urgent criminalization.
This academic paper from the Journal of Cyber Policy argues that decentralized AI technologies are essential for preserving innovation and free expression, particularly for marginalized groups. It asserts that centralized regulation of AI sexual content would lead to over-censorship and false positives, harming queer communities and sex educators who use AI for consensual, private exploration. The paper cites examples of existing laws (e.g., obscenity statutes) that can already address non-consensual acts, and warns that criminalizing 'child-like' simulations, such as anime characters, is a slippery slope to policing fantasy, not just harm.
This article by the Electronic rontier oundation (E) argues that strict platform liability for AI-generated sexual content is ineffective and counterproductive. It points out that pre-screening all content with AI will lead to high false-positive rates, censoring legitimate content (e.g., educational or artistic). The E notes that current laws, such as Section 230 in the US, already allow platforms to remove non-consensual content when notified, and that the real 'epidemic' is fear-mongering, not the technology itself. The article emphasizes that decentralization and targeted enforcement against actual non-consensual acts are more effective than blanket bans, which only drive abusers to encrypted channels.
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