- Microsoft’s Azure introduces new safety features for AI models, including Prompt Shields and Groundedness Detection, aimed at detecting vulnerabilities and blocking malicious prompts.
- These features enhance control over filtering inappropriate content, addressing concerns about AI model safety.
- Microsoft’s commitment to AI safety aligns with expanding Azure’s AI capabilities amidst growing demand.
Microsoft’s Chief Product Officer of Responsible AI, Sarah Bird, reveals to The Verge in an interview the rollout of new safety features designed by her team for Azure customers. These features, powered by LLM technology, aim to detect vulnerabilities, monitor for plausible yet unsupported scenarios, and block malicious prompts in real-time for users leveraging Azure AI models.
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There are various functionalities improving safety
The functionalities include Prompt Shields, Groundedness Detection, and safety evaluations, with additional features such as directing models towards safe outputs and tracking prompts for problematic users forthcoming. Notably, the system evaluates input prompts for banned words and hidden cues before processing, ensuring responses align with desired outcomes.
It can filter hate speech or violence within AI models
Bird emphasises the customisable control over filtering hate speech or violence within AI models, addressing concerns about inappropriate content. These safety measures extend to popular models like GPT-4 and Llama 2, although users of smaller, less-used open-source models may need to manually configure the features.
Microsoft’s commitment to enhancing AI safety aligns with the growing demand for Azure’s AI capabilities, underscored by recent partnerships aimed at expanding its model offerings.
