Foundations of AI in Microsoft Azure - Episode 17: Blueprint for Responsible Generative AI Development

This episode breaks down the crucial four-stage process for building safe and ethical AI solutions. First, they Identify Harms by rigorously testing for risks like bias and false content. Second, they Measure Harms, establishing baselines for system performance and risk presence. Third, they Mitigate Risks by applying a layered defense that ranges from model tuning to user experience design. Finally, they Operate Responsibly, ensuring ongoing safety through compliance, phased rollouts, and robust incident plans. We explore how this guidance, which champions continuous testing and tools like Azure AI Content Safety, is defining the future of trustworthy AI deployment.https://learnazure4free.com/