Evaluating Safety Measures in Advanced AI: The Case of GPT-4o
Introduction to AI Safety in GPT-4o Artificial intelligence systems like GPT-4o bring new opportunities and challenges. This report examines the safety work done before releasing GPT-4o. The focus is on understanding risks to human thinking and behavior and how to reduce these risks. Safety in AI is important to protect users and society from harmful effects. External Red Teaming as a Safety Experiment One method to test AI safety is called external red teaming. This involves outside experts trying to find weaknesses or risks in GPT-4o. These experts treat the AI as a system to be tested under different conditions. Their goal is to discover if the AI could behave in ways that might harm people or spread wrong information. This process is like running experiments to challenge the AI’s limits and observe outcomes. Frontier Risk Evaluations and the Preparedness Framework Another step in safety work is frontier risk evaluation. This means studying the most serious possible dange...