TLDR:

Child abusers are creating AI-generated “deepfakes” to blackmail their targets into filming abuse, sparking concerns about how to police explicit AI-generated images of real people. Various datasets used for AI training contain instances of child sexual abuse material, creating challenges for regulators and tech companies.

Key Elements:

In December, researchers discovered child sexual abuse material (CSAM) in a vast AI training dataset, raising questions about policing AI image generators to prevent explicit content.

AI image generators trained on datasets with illicit content can create explicit images of adults and children, highlighting the challenges of ensuring clean training data.

Organizations like OpenAI advocate for restrictive measures to control AI generation, emphasizing the importance of preventing harmful content creation.

In the short term, proposed bans focus on purpose-built tools for explicit AI imagery, while long-term challenges include understanding and limiting complex AI systems.

The debate around regulating AI-generated images mirrors broader discussions on AI ethics, safety, and the responsibilities of tech companies in combating harmful content.