Trustworthy AI and Responsible AI Development
Last week at the Microsoft AI Tour in Mexico City, Microsoft unveiled its Trustworthy AI initiative, emphasizing privacy, safety, and security in all AI innovations. With commitments like the Secure Future Initiative and transparency in data usage, Microsoft ensures that AI systems prioritize Privacy, Safety, and Security. These efforts aim to support enterprise leaders, AI developers, and enthusiasts in building reliable generative AI applications aligned with Microsoft’s high standards.
Evaluating Generative AI Applications
In the development lifecycle of generative AI applications, evaluation plays a crucial role in measuring outcomes. Microsoft introduced four new capabilities for public preview to facilitate evaluations:
– Risk and safety evaluations for indirect prompt injection attacks
– Risk and safety evaluations for protected text
– Math-based metrics including ROUGE, BLEU, METEOR, and GLEU
– Synthetic data generator for non-adversarial tasks
Transitioning to the new Azure AI Evaluation SDK is recommended for a seamless experience. Reference the Azure AI evaluation package for further information and tutorials.
Azure AI Content Safety
Azure AI Content Safety offers protective features for generative AI, with a range of capabilities detailed in the RAI Playlist. Notable additions to the Content Safety toolbox include Unity’s use of content filtering models in Muse Chat, enhancing content moderation in real-time scenarios.
Data Protection and Confidential Inferencing
Ensuring data protection in AI solutions remains a priority for Microsoft, particularly in highly regulated sectors. The Azure AI Confidential Inferencing, currently in limited preview, addresses the encryption of sensitive data during processing. Developers can sign up for the preview to explore secure inferencing services.
Moving Forward with Trustworthy AI
By integrating security, privacy, and safety features into generative AI solutions, developers can enhance the trustworthiness of their applications. Explore Microsoft’s Operationalize AI Responsibly with Azure AI Studio Learn Path for guidance on responsible AI implementation. Whether refining existing solutions or embarking on new projects, leveraging Microsoft’s latest capabilities ensures trustworthy AI development.
Conclusion
In conclusion, Microsoft’s Trustworthy AI initiative and Responsible AI development efforts showcase a commitment to privacy, safety, and security in AI applications. By providing robust evaluation tools, content safety features, and data protection capabilities, Microsoft enables developers to build reliable and responsible generative AI solutions. Embracing these tools and principles sets a solid foundation for creating AI applications that users can trust and rely on.
IntelliPrompt curated this article: Read the full story at the original source by clicking here