Evaluating Safety Measures in Advanced AI: The Case of GPT-4o
Artificial intelligence models like GPT-4o present both opportunities and challenges. This article reviews the safety measures applied before GPT-4o’s release, focusing on understanding risks to human cognition and behavior and approaches to mitigate these risks. AI safety is important to minimize potential harm to users and society. TL;DR External red teaming involves experts probing GPT-4o for safety vulnerabilities and harmful behaviors. Frontier risk evaluations use frameworks to assess serious AI risks and societal preparedness. Mitigations are designed and tested to reduce risks related to misinformation and negative human impact. External Red Teaming as a Safety Experiment External red teaming is a method where independent experts test GPT-4o for potential weaknesses or risks. These tests simulate various scenarios to identify if the AI might produce harmful outputs or misinformation. This experimental approach helps reveal limitations and ...