OpenAI adds open source tools to help developers build for teen safety

2026-03-24 · Source: TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Software Development & Engineering · Depth: Intermediate, quick

Summary

OpenAI has released a set of open-source teen safety policies designed as prompts for developers to integrate into their applications. These prompts, compatible with OpenAI's gpt-oss-safeguard model and other AI models, address critical issues such as graphic violence, sexual content, harmful body ideals, dangerous activities, romantic/violent role play, and age-restricted goods. Developed in collaboration with AI safety organizations like Common Sense Media and everyone.ai, these tools aim to provide a foundational safety layer across the AI ecosystem, helping developers translate abstract safety goals into concrete, operational rules. This initiative builds on OpenAI's prior efforts, including product-level safeguards and updated Model Spec guidelines for users under 18, acknowledging that AI safety remains a complex challenge.

Key takeaway

For AI Product Managers developing applications for younger audiences, integrating OpenAI's new open-source teen safety prompts can establish a baseline of protection against harmful content. This approach can streamline compliance with safety standards and reduce the effort required to operationalize complex safety goals, allowing your team to focus on core product features while mitigating risks associated with graphic content or dangerous behaviors.

Key insights

OpenAI's open-source teen safety prompts offer a standardized way to integrate critical safeguards into AI applications.

Principles

• Prompt-based policies enhance AI safety.
• Collaboration improves safety standards.
• Clear policies are foundational for effective safety.

Method

Developers can use OpenAI's open-weight gpt-oss-safeguard model or other AI models with provided prompt-based policies to filter harmful content for teen users, addressing specific risk categories.

In practice

• Integrate prompts for content filtering.
• Adapt open-source policies for specific needs.
• Review policies for consistent enforcement.

Topics

• Teen Safety
• AI Safety Policies
• gpt-oss-safeguard
• Developer Tools
• Content Moderation

Code references

• openai/teen-safety-policy-pack

Best for: Machine Learning Engineer, AI Product Manager, CTO, Software Engineer, AI Ethicist, AI Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by TechCrunch.