As AI becomes more deeply integrated into the Microsoft Data Platform , Copilot to Azure Cognitive Services and Fabric’s AI capabilities ; ethical questions are no longer the domain of theorists. Data professionals now sit at the front lines of ethical AI implementation.

In this session, we’ll break down what AI ethics really means for your day-to-day work. We’ll explore the core principles: fairness, transparency, accountability, and privacy, and translate them into practical considerations when building AI-powered data solutions on Azure.

Key topics include:

-How bias can sneak into your data models

-Governance best practices for AI features in Fabric and Power BI

-What Microsoft’s Responsible AI Standard means for your projects

You'll leave with a clear, actionable framework for evaluating AI features ethically, ensuring your solutions are not only powerful but also trustworthy and compliant. Whether you're integrating AI for the first time or scaling existing models, this session will help you navigate the real-world responsibilities that come with working at the intersection of data and intelligence.