OpenAI Child Safety and CSAM Prevention Strategy

OpenAI is implementing a comprehensive safety framework to prevent the creation and distribution of child sexual abuse material (CSAM) and child sexual exploitation material (CSEM). This strategy combines pre-deployment training safeguards, real-time monitoring, and industry partnerships to disrupt attempts to use AI for child exploitation.

Strict Prohibitions and Enforcement Policies

OpenAI explicitly prohibits the use of its services for any activity that exploits, endangers, or sexualizes individuals under 18. These prohibitions extend to both end-users and developers building on OpenAI's technology.

Prohibited Activities

  • CSAM/CSEM: Creation or use of child sexual abuse material, regardless of whether it is AI-generated.
  • Grooming and Roleplay: Engaging in the grooming of minors or underaged sexual/violent roleplay.
  • Minor Safety: Exposing minors to graphic self-harm, sexual, or violent content; promoting unhealthy dieting or exercise; and shaming body types or appearance.
  • Dangerous Activities: Encouraging dangerous challenges for minors or providing underaged access to age-restricted goods.

Enforcement Actions

  • User Bans: Any user attempting to upload or generate CSAM/CSEM is immediately banned and reported to the National Center for Missing and Exploited Children (NCMEC).
  • Developer Accountability: Developers building tools for minors must prevent the creation of sexually explicit or suggestive content. OpenAI notifies developers of CSAM/CSEM attempts by their users; failure to remedy persistent patterns of abuse leads to a developer ban.
  • Evasion Monitoring: OpenAI's investigations team monitors for users who attempt to circumvent bans by creating new accounts.

Technical Safeguards and Detection Methods

OpenAI employs a multi-faceted technical approach to ensure models cannot be used to generate or analyze exploitative material.

Training Data Integrity

To prevent models from developing the capability to produce CSAM or CSEM, OpenAI detects and removes such material from training datasets. Confirmed CSAM found during this process is reported to NCMEC.

Real-time Detection and Blocking

OpenAI utilizes several technologies to identify and block abuse in production:

  • Hash Matching: Used to identify known CSAM flagged by internal teams or via Thorn's vetted library.
  • Content Classifiers: OpenAI uses Thorn's CSAM content classifier to detect potentially novel CSAM uploaded to its products.
  • AI-Driven Monitoring: OpenAI's own models are deployed to detect abuse patterns more quickly.
  • Human Review: Internal human experts review content only when a classifier flags potential abuse.

Response to Emerging Abuse Patterns

OpenAI has identified and shared specific patterns of abuse that require evolving safety responses:

  • Descriptive Analysis: Some users attempt to upload CSAM and ask the model to generate detailed descriptions of the material. OpenAI uses hash matching and Thorn's classifiers to block these requests.
  • Narrative Integration: Users may attempt to coax models into fictional sexual roleplay or stories involving minors in abusive situations by uploading CSAM as part of the narrative.

To combat these, OpenAI employs context-aware classifiers and abuse monitoring alongside prompt-level detection to ensure robustness against misuse.

Public Policy and Industry Collaboration

OpenAI advocates for public policy frameworks that enable deeper collaboration between technology companies, law enforcement, and advocacy organizations.

The Red Teaming Challenge

OpenAI notes that because possession of CSAM is illegal in the United States, it is currently illegal to "red team" AI models using CSAM, even simulated material. This restriction makes it difficult to thoroughly validate safety measures.

Legislative Support

OpenAI supports legislation such as the Child Sexual Abuse Material Prevention Act in New York state, which aims to provide statutory protection for companies taking proactive actions to detect, classify, monitor, and mitigate harmful AI-generated content.

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