6 Total
0 High severity
2 Medium severity
4 Low severity
Summary

This is OpenAI's public safety and responsibility page, which describes the company's stated approach to developing AI systems like ChatGPT and GPT-4 in ways it considers safe and beneficial. The document outlines OpenAI's internal safety programs including red-teaming, preparedness frameworks, and superalignment research, but does not create legal rights or obligations for users and does not specify how user data is collected, stored, or shared. If you want to understand your actual data rights or usage terms with OpenAI products, you should review OpenAI's separate Privacy Policy and Terms of Use.

Technical / Legal Breakdown

This document is OpenAI's public-facing Safety and Responsibility page, a corporate governance and values statement rather than a legally binding terms of service or privacy policy; it does not assert a specific legal basis or contractual framework. The document states commitments to safe and beneficial AI development, describing internal safety practices including iterative deployment, safety research, and what it calls 'preparedness' and 'superalignment' programs. The document is a high-level principles statement rather than an operational policy with specific obligations, opt-out mechanisms, or enforceable user rights; it does not include arbitration clauses, data collection specifications, liability limits, or financial terms. The document engages broadly with emerging AI governance frameworks including the EU AI Act, voluntary AI safety commitments made to the US government, and international safety discussions, though specific regulatory obligations or enforcement mechanisms are not detailed within the document itself. As a public commitments page rather than a binding agreement, material compliance considerations relate primarily to whether stated practices align with OpenAI's separate terms of service, privacy policy, and applicable AI regulation obligations; the document's assertions are voluntary and self-reported rather than legally verified.

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Medium — 2 provisions
Low — 4 provisions

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Mapped Governance Frameworks

California AB 2013 AI Training Data Transparency
US-CA
View official text ↗
DMCA
United States Federal
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DSA
European Union
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Archival ProvenanceSource & Archival Record
Last Captured May 12, 2026 06:15 UTC
Capture Method Automated scheduled archival capture
Document ID CA-D-000822
Version ID CA-V-002508
SHA-256 e6aff17aaa45ede5b6c9ae5aa7145d80dd3d6023da3e4f89239abbae35c948a6
✓ Snapshot stored ✓ Text extracted ✓ Change verified ✓ Hash verified

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