OpenAI releases open source tools to help developers build safer AI apps for teens

Reviewed byNidhi Govil

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OpenAI unveiled a set of open-source safety prompts designed to help AI developers protect underage users from harmful content. The tools, developed with Common Sense Media and everyone.ai, target risks like self-harm, graphic violence, and inappropriate role-play. The release comes as OpenAI faces multiple lawsuits related to teen safety, including cases where ChatGPT allegedly contributed to user deaths.

OpenAI Launches Open Source Tools for Teen Safety

OpenAI announced Tuesday it is releasing a comprehensive set of open-source safety prompts that AI developers can integrate directly into their applications to protect underage users

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. The prompt-based safety policies are designed to work with gpt-oss-safeguard, OpenAI's open-weight safety model, though their prompt-based format makes them compatible with other AI models across the developer ecosystem

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Source: The Next Web

Source: The Next Web

Rather than forcing developers to build teen safety measures from scratch, these open source tools provide ready-to-use guidance addressing five critical categories of harmful content: graphic violence and sexual content, harmful body ideals and behaviors, dangerous activities and challenges, romantic or violent role play, and age-restricted goods and services

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. The company developed these policies in collaboration with AI safety watchdogs Common Sense Media and everyone.ai, bringing together child safety expertise with technical AI knowledge

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Addressing Critical Gaps in Developer Ecosystem

OpenAI acknowledged that even experienced teams often struggle to translate high-level safety goals into precise, operational rules for AI applications for teenagers

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. This challenge requires both subject matter expertise and deep AI knowledge, and failures in this translation process can lead to gaps in protection, inconsistent enforcement, or overly broad filtering that degrades user experience

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. The new open-source safety prompts aim to establish what Robbie Torney, Head of AI and Digital Assessments at Common Sense Media, called a "meaningful safety floor across the ecosystem" that can be adapted and improved over time

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The tools are particularly valuable for smaller teams and independent developers who lack the resources to build robust safety systems from scratch

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. Developers can now download the safety model on Hugging Face and access the prompt pack on GitHub, making implementation straightforward

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Legal Pressure and Youth Mental Health Concerns

The release arrives amid mounting legal challenges for OpenAI. The company faces at least eight lawsuits alleging that ChatGPT contributed to user deaths, including the high-profile case of 16-year-old Adam Raine, who died by suicide in April 2025 after months of intensive interaction with the chatbot

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. Court filings revealed that ChatGPT mentioned suicide more than 1,200 times in Raine's conversations and flagged hundreds of messages for self-harm content, yet never terminated a session or alerted anyone

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. Three additional suicides and four cases described as AI-induced psychotic episodes have also produced litigation against the company, marking the industry's first wrongful death suit

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Source: TechCrunch

Source: TechCrunch

These wrongful death suit cases highlight the stakes involved in youth mental health and AI safety. OpenAI has responded by introducing parental controls and age-prediction features in late 2025, and updated its Model Spec in December to include specific protections for users under 18

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. However, third-party developers licensing OpenAI's models have struggled to maintain the same level of safety precautions, including in AI-powered children's toys

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What This Means for AI Safety Going Forward

OpenAI explicitly stated that these policies are not a comprehensive solution to the complex challenges of making AI safe for young users, but rather a foundational safety floor

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. The distinction matters because no model's guardrails are fully impenetrableβ€”users, including teenagers, have repeatedly found ways to bypass safety features through persistent probing and creative prompting

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The open-source approach represents a bet that distributing baseline safety policies widely is better than leaving every developer to reinvent the wheel

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. Whether these tools prove effective will depend on adoption rates, how aggressively developers integrate them, and whether they hold up against sustained, adversarial interactions that have already exposed weaknesses in ChatGPT's own safety layers. Some experts suggest that AI systems capable of sustained, emotionally engaging conversation with minors may require fundamentally different architectures or external monitoring systems that sit outside the model entirely

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. For now, these downloadable safety policies offer a practical contribution to protect underage users, though courts, regulators, and future developments will determine whether they represent sufficient progress in addressing inappropriate role-play, harmful body ideals, and other risks facing young AI users.

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