What feature detects harmful or biased content generated by AI models?

The feature that detects harmful or biased content generated by AI models is Toxicity Detection. This capability is specifically designed to identify language that may be considered offensive, harmful, or biased. It utilizes various algorithms and models to analyze text for toxic elements, enabling organizations to mitigate the risk of deploying AI outputs that could harm individuals or groups.

By employing Toxicity Detection, businesses can promote safer interactions in applications where AI-generated content is used, ensuring that outputs are not only relevant but also responsible. This is particularly crucial in environments where user safety and ethical considerations are paramount, such as social media platforms, customer service interactions, and any content generation tools.

In contrast, features like Prompt Defense, Dynamic Grounding, and Data Staging focus on different aspects of AI functionality but do not directly address the identification of harmful content. Prompt Defense is typically related to managing adversarial prompts, Dynamic Grounding involves contextualizing AI responses based on real-time data, and Data Staging pertains to preparing and organizing data for analysis or processing.