AI safety and alignment

EMEA Youth & Wellbeing Grant

Apply for the EMEA Youth & Wellbeing Grant, a €500,000 program funding NGOs and researchers advancing youth safety and wellbeing in the age of AI.

Our approach to advertising and expanding access to ChatGPT

OpenAI plans to test advertising in the U. S.

Information-Driven Design of Imaging Systems

An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects.

Introducing ChatGPT Health

ChatGPT Health is a dedicated experience that securely connects your health data and apps, with privacy protections and a physician-informed design.

AprielGuard: A Guardrail for Safety and Adversarial Robustness in Modern LLM Systems

Updating our Model Spec with teen protections

OpenAI is updating its Model Spec with new Under-18 Principles that define how ChatGPT should support teens with safe, age-appropriate guidance grounded in developmental science. The update strengthens guardrails, clarifies expected model behavior in higher-risk situations, and builds on our broader work to improve teen safety across ChatGPT.

Gemma Scope 2: helping the AI safety community deepen understanding of complex language model behavior

Open interpretability tools for language models are now available across the entire Gemma 3 family with the release of Gemma Scope 2.

Deepening our partnership with the UK AI Security Institute

Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research

Update to GPT-5 System Card: GPT-5.2

GPT-5. 2 is the latest model family in the GPT-5 series.

Funding grants for new research into AI and mental health

OpenAI is awarding up to $2 million in grants for research at the intersection of AI and mental health. The program supports projects that study real-world risks, benefits, and applications to improve safety and well-being.

Strengthening our safety ecosystem with external testing

OpenAI works with independent experts to evaluate frontier AI systems. Third-party testing strengthens safety, validates safeguards, and increases transparency in how we assess model capabilities and risks.

How Scania accelerates work with AI across its global workforce

Global manufacturer Scania is scaling AI with ChatGPT Enterprise. With team-based onboarding and strong guardrails, AI is boosting productivity, quality, and innovation.

GPT-5.1-Codex-Max System Card

This system card outlines the comprehensive safety measures implemented for GPT‑5. 1-CodexMax.

A free version of ChatGPT built for teachers

ChatGPT for Teachers is a secure workspace with education‑grade privacy and admin controls. Free for verified U.

Understanding neural networks through sparse circuits

OpenAI is exploring mechanistic interpretability to understand how neural networks reason. Our new sparse model approach could make AI systems more transparent and support safer, more reliable behavior.

Fighting the New York Times’ invasion of user privacy

OpenAI is fighting the New York Times’ demand for 20 million private ChatGPT conversations and accelerating new security and privacy protections to protect your data.

GPT-5.1 Instant and GPT-5.1 Thinking System Card Addendum

This GPT-5 system card addendum provides updated safety metrics for GPT-5. 1 Instant and Thinking, including new evaluations for mental health and emotional reliance.

Introducing the Teen Safety Blueprint

Discover OpenAI’s Teen Safety Blueprint—a roadmap for building AI responsibly with safeguards, age-appropriate design, and collaboration to protect and empower young people online.

AI progress and recommendations

AI is advancing fast. We have the chance to shape its progress—toward discovery, safety, and a better future for everyone.

gpt-oss-safeguard technical report

gpt-oss-safeguard-120b and gpt-oss-safeguard-20b are two open-weight reasoning models post-trained from the gpt-oss models and trained to reason from a provided policy in order to label content under that policy. In this report, we describe gpt-oss-safeguard’s capabilities and provide our baseline safety evaluations on the gpt-oss-safeguard models, using the underlying gpt-oss models as a baseline.