Deep Research System Card
OpenAI has published the system card for its Deep Research capability, detailing pre-release safety work including external red teaming and frontier risk evaluations conducted under the Preparedness Framework. The document outlines identified risk areas and the mitigations implemented before deployment. This is the formal safety disclosure accompanying the Deep Research product launch.
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OpenAI o1 System Card
OpenAI has published the system card for its o1 and o1-mini models, documenting safety evaluations conducted prior to release. The report covers external red teaming exercises and frontier risk assessments performed under OpenAI's Preparedness Framework. This represents the formal safety disclosure accompanying the o1 model family launch.
OpenAI o3-mini System Card
OpenAI has published the system card for its o3-mini model, detailing safety evaluations, external red teaming efforts, and assessments conducted under the Preparedness Framework. The document covers the safety work performed prior to deployment of the o3-mini reasoning model. This is a standard pre-release safety disclosure accompanying the model launch.
Operator System Card
OpenAI published a system card for Operator, its autonomous web-browsing agent, detailing the multi-layered safety mitigations deployed. The document covers protections against prompt injection and jailbreaks, privacy and security measures, external red teaming results, and safety evaluations. It reflects OpenAI's established safety frameworks applied to an agentic product capable of taking real-world actions on behalf of users.
DALL·E 3 System Card
OpenAI published the system card for DALL·E 3, its latest text-to-image model. The document covers safety evaluations, mitigation strategies, and known limitations related to harmful content generation, bias, and misuse risks. It follows OpenAI's practice of releasing system cards alongside major model deployments to document safety testing and residual risks.
Open-source DeepResearch – Freeing our search agents
Hugging Face published a blog post introducing Open Deep Research, an open-source replication of agentic deep research capabilities (similar to OpenAI's Deep Research). The project aims to build open-weight search agents capable of multi-step web research and synthesis. The post details the architecture, tooling, and early benchmark results of the system.
Advancing Red Teaming with People and AI
OpenAI published a blog post describing advances in their red teaming methodology, combining human red teamers with AI-assisted approaches. The post outlines how AI tools are being integrated into the red teaming pipeline to improve coverage and efficiency of safety evaluations. This represents an evolution in OpenAI's pre-deployment safety testing practices.
OpenAI Red Teaming Network
OpenAI is launching an open call for a Red Teaming Network, inviting domain experts to participate in ongoing safety evaluations of its models. The initiative aims to build a structured community of external red teamers who can help identify risks and failure modes across OpenAI's model releases. This represents a formalization of OpenAI's external adversarial testing program beyond one-off pre-release red teaming exercises.
OpenAI o3 and o4-mini System Card
OpenAI has published the system card for its o3 and o4-mini models, which combine advanced reasoning capabilities with a full suite of integrated tools including web browsing, Python execution, image and file analysis, image generation, canvas, automations, file search, and memory. The system card documents safety evaluations and deployment considerations for these frontier reasoning models. This represents a significant capability expansion over prior o-series models by natively integrating tool use alongside chain-of-thought reasoning.