Safety
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GPT-5.5 Bio Bug Bounty
Explore the GPT-5.5 Bio Bug Bounty: a red-teaming challenge to find universal jailbreaks for bio safety risks, with rewards up to $25,000.
Introducing the Child Safety Blueprint
Discover OpenAI’s Child Safety Blueprint—a roadmap for building AI responsibly with safeguards, age-appropriate design, and collaboration to protect and empower young people online.
Announcing the OpenAI Safety Fellowship
A pilot program to support independent safety and alignment research and develop the next generation of talent
Introducing the OpenAI Safety Bug Bounty program
OpenAI launches a Safety Bug Bounty program to identify AI abuse and safety risks, including agentic vulnerabilities, prompt injection, and data exfiltration.
Introducing the OpenAI Safety Bug Bounty program Read More »
Introducing the OpenAI Safety Bug Bounty program
OpenAI launches a Safety Bug Bounty program to identify AI abuse and safety risks, including agentic vulnerabilities, prompt injection, and data exfiltration.
Introducing the OpenAI Safety Bug Bounty program Read More »
Helping developers build safer AI experiences for teens
OpenAI releases prompt-based teen safety policies for developers using gpt-oss-safeguard, helping moderate age-specific risks in AI systems.
Helping developers build safer AI experiences for teens Read More »
Creating with Sora Safely
To address the novel safety challenges posed by a state-of-the-art video model as well as a new social creation platform, we’ve built Sora 2 and the Sora app with safety at the foundation. Our approach is anchored in concrete protections.
Creating with Sora Safely
To address the novel safety challenges posed by a state-of-the-art video model as well as a new social creation platform, we’ve built Sora 2 and the Sora app with safety at the foundation. Our approach is anchored in concrete protections.
How we monitor internal coding agents for misalignment
How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI safety safeguards.
How we monitor internal coding agents for misalignment Read More »