Track 3 platforms and get the weekly governance digest. No credit card required.
This page describes what the document states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability may vary by jurisdiction. Methodology
This is OpenAI's system card for GPT-5, a multi-model AI system that routes user queries across fast, reasoning, and mini model variants based on conversation complexity, tool needs, and explicit user intent. The document discloses that gpt-5-thinking has been classified as High capability in the Biological and Chemical domain under OpenAI's internal Preparedness Framework, activating associated safeguards, even though OpenAI states it lacks definitive evidence the model meets its own defined threshold for enabling novice users to cause severe biological harm. The routing system is disclosed as continuously trained on real user signals including when users switch models, response preference rates, and measured correctness.
This document is a system card published by OpenAI for GPT-5, a unified AI system comprising multiple model variants including gpt-5-main, gpt-5-main-mini, gpt-5-thinking, gpt-5-thinking-mini, gpt-5-thinking-nano, and gpt-5-thinking-pro, deployed across ChatGPT and the API. The document discloses that GPT-5 incorporates a real-time routing system trained on user behavior signals including model-switching events, response preference rates, and measured correctness, and states that all GPT-5 models feature a safety training approach called safe-completions designed to prevent disallowed content. The document states that gpt-5-thinking has been classified as High capability in the Biological and Chemical domain under OpenAI's Preparedness Framework, activating associated safeguards, while explicitly noting the company does not have definitive evidence the model meets its defined threshold for meaningful novice uplift toward severe biological harm; the precautionary classification and the stated absence of definitive evidence create an interpretive gap that compliance teams and regulators may scrutinize. The document engages considerations relevant to the EU AI Act, given the model's classification under a risk-tiered internal framework and its general-purpose AI status, as well as FTC oversight of AI system disclosures and safety representations in the United States; applicability of specific regulatory obligations depends on jurisdiction, deployment context, and how regulators classify the system. Material compliance considerations include the adequacy of the safe-completions safety training mechanism, the operational scope of the Preparedness Framework's High capability designation, and the transparency obligations associated with disclosing routing logic trained on real user interaction data.
Institutional analysis available with Compliance
Regulatory exposure by statute, material risk assessment, vendor due diligence action items, and enforcement precedent. Available on Compliance.
Get ComplianceEvery distinct legal provision identified in this document. Featured provisions appear above with analysis.
Monitoring
OpenAI has updated this document before.
Monitor includes same-day alerts, structured change summaries, and monitoring for up to 25 platforms.
Compliance Governance Intelligence
Need provision-level monitoring and regulatory mapping?
Compliance includes governance timelines, compliance memos, audit-ready analysis, and full provision tracking.
Get ComplianceCross-platform context
See how other platforms handle GPT-5-Thinking Classified High Capability Biological Chemical Domain and similar clauses.
Compare across platforms →OpenAI expanded its data sharing terms to include third-party marketing partners. The updated policy authorizes the use of personal data fo…
872 provisions across 8 AI platforms. The terms your AI provider sets become the terms your product operates under.
Ad personalization controls removed. Contact scanning added. Advertiser data partnerships quietly dropped. A timeline of every change.
The bill does not regulate most AI startups directly. But it changes the companies they depend on. Here is what the first federal AI law wo…
H.R. 8094 would make the FTC the referee for AI model disclosure. It also names system cards as a way to comply, which turns a voluntary in…
Governance Monitoring
Structured alerts for policy changes, governance events, and provision updates across 318+ platforms.