Practices for Governing Agentic AI Systems

We terminated accounts associated with state-affiliated threat actors. Our findings show our models offer only limited, incremental capabilities for malicious cybersecurity tasks.

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Machine learning’s shift towards personalization has been transformative, particularly in recommender systems, healthcare, and financial services. This approach tailors decision-making processes to align with individuals’ unique characteristics, enhancing user experience and effectiveness. For instance, in recommender systems, algorithms can suggest products or services based on individual purchase histories and browsing behaviors. However, applying this strategy…

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In recent years, researchers in the field of robotic reinforcement learning (RL) have achieved significant progress, developing methods capable of handling complex image observations, training in real-world scenarios, and incorporating auxiliary data, such as demonstrations and prior experience. Despite these advancements, practitioners acknowledge the inherent difficulty in effectively utilizing robotic RL, emphasizing that the specific…