7 Total
2 High severity
4 Medium severity
1 Low severity
Summary

This document is OpenAI's system card for GPT-4o, disclosing the model's capabilities across audio, image, and text processing and the identified risks prior to release. The document establishes that GPT-4o processes and generates voice, images, and text simultaneously, and identifies specific risk categories including voice output that resembles real individuals, emotional state inference from audio, and potential use in influence operations or cyberattacks. OpenAI applied mitigations to these identified risks while acknowledging residual risks remain after deployment.

Technical / Legal Breakdown

This document is the GPT-4o System Card published by OpenAI, a technical safety and governance disclosure describing the capabilities, risks, and mitigation measures associated with the GPT-4o model prior to its public release. The card states that OpenAI conducted external red teaming, frontier risk evaluations under its Preparedness Framework, and implemented behavioral mitigations across audio, vision, and text modalities to address identified risk areas including CBRN uplift, persuasion, model autonomy, and voice-based harms. The document discloses that GPT-4o introduces a native audio-visual modality that creates operationally distinct risk surfaces compared to text-only predecessors, including the potential for voice cloning, unauthorized speaker identification, real-time emotion inference, and generation of content that could enable social engineering or influence operations. The card engages the EU AI Act's high-risk and general-purpose AI classification frameworks, the FTC's consumer protection authority over deceptive AI-generated content, and broader voluntary AI safety commitments made by OpenAI to the US government. The document acknowledges residual risks across evaluated categories and states that GPT-4o received a 'medium' risk rating under the Preparedness Framework for CBRN and cybersecurity, with deployment authorized subject to ongoing monitoring and post-deployment mitigation updates.

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High — 2 provisions
Medium — 4 provisions
Low — 1 provision

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Cross-platform context

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Mapped Governance Frameworks

California AB 2013 AI Training Data Transparency
US-CA
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DMCA
United States Federal
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DSA
European Union
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Archival ProvenanceSource & Archival Record
Last Captured March 10, 2026 03:33 UTC
Capture Method Automated scheduled archival capture
Document ID CA-D-000008
Version ID CA-V-000071
SHA-256 13469e1f569bac73628d7be62bc69800973adef5b79096ccd439344d4f658502
✓ Snapshot stored ✓ Text extracted ✓ Change verified ✓ Hash verified

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