Language models can exhibit human-like “personalities” that are often unpredictable, leading to unsettling behavior changes. For example, Microsoft’s Bing chatbot adopted an alter-ego named “Sydney,” and xAI’s Grok briefly identified as “MechaHitler.” These personality shifts stem from a lack of understanding of the neural networks driving AI behavior. At Anthropic, we introduced “persona vectors,” patterns within the neural network that correlate with specific traits like “evil” or “sycophancy.” These vectors enable developers to monitor and mitigate adverse personality changes during AI training and deployment. Our automated system identifies these vectors, creating a powerful tool for guiding AI behavior. Persona vectors can proactively prevent undesirable traits from emerging, predict how training data affects model personality, and enhance overall AI alignment with human values. This research advances the understanding of AI personalities and facilitates better control mechanisms to ensure responsible AI usage. Read the full paper for deeper insights.
Source link
Share
Read more