OpenAI Introduces Rule-Based Rewards to Enhance AI Safety

Jul 24, 2024, 04:31 PM

OpenAI has introduced Rule-Based Rewards (RBRs) as a key component of its safety stack to align AI model behavior with desired safe behavior without extensive human data collection. This new method leverages RBRs to provide reinforcement learning signals based on a set of safety rubrics, making it easier to adapt to changing safety policies. The RBRs enable AI models to rank their own safety, thereby automating safety scoring and allowing developers to create clear-cut safety instructions for AI model fine-tuning. This approach aims to make AI systems safer and more reliable for everyday use.