<ul><li>Responsible AI in Azure focuses on building fair, secure, reliable, and ethical AI systems to address technical, ethical, and social concerns.</li><li>Microsoft's guiding principles for Responsible AI in Azure include fairness, reliability, safety, privacy, inclusiveness, transparency, and accountability.</li><li>Tools like Fairlearn, InterpretML, and Azure Machine Learning Responsible AI Dashboard support responsible AI practices in Azure by assessing fairness, interpretability, and data privacy.</li><li>Implementing responsible AI in Azure involves planning, designing, testing, deploying, monitoring, and iterating, guided by Microsoft's governance frameworks and documentation.</li></ul>

Understanding Responsible AI in Azure and Its Significance

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