Summary:
- The article analyzes the technical and policy-based interventions currently employed by foundation model developers to prevent the generation of non-consensual intimate imagery (NCII).
- It highlights critical gaps in existing safety guardrails, emphasizing the need for empirical, evidence-based research to improve the efficacy of AI moderation systems.
- The paper advocates for a more rigorous, scientific approach to evaluating model safety, suggesting that current mitigation strategies often lack the transparency and systematic testing required to address the evolving risks of generative AI.