Evaluating Safety Measures in Advanced AI: The Case of GPT-4o
Temporal & Scope Guidance: This analysis is grounded in the GPT-4o System Card and Preparedness Framework results published in early August 2024. Because GPT-4o is natively multimodal—integrating text, audio, and vision in a single neural network—safety assessments are dynamic. These findings represent the model's state at launch and do not account for emergent vulnerabilities discovered during wider public deployment or subsequent fine-tuning iterations. Use this information at your own discretion; we can’t accept liability for decisions made based on it. Artificial intelligence models like GPT-4o expand what “a single model” can do: not just text, but voice, images, and real-time interaction. That expansion also changes the threat surface. A safety evaluation for a multimodal system is not only about harmful text—it is about how capabilities combine , how users react to more human-like interaction, and how small failures (like misidentifying a voice or drifting...