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In this AI-900 Azure AI Fundamentals lesson, we go beyond the basics and take a *deep dive into Responsible AI* — including how it applies to *generative AI* and Azure OpenAI. You will learn: ✅ What Responsible AI means in the Microsoft ecosystem Why ethical, safe and trustworthy AI is a core requirement How Responsible AI appears in the latest *AI-900 exam objectives* ✅ The Six Microsoft Responsible AI Principles *Fairness* – avoid unjust discrimination and biased outcomes *Reliability & Safety* – make AI behave as intended and handle failures safely *Privacy & Security* – protect user data and resist attacks or misuse *Inclusiveness* – design AI that works for diverse users and supports accessibility *Transparency* – help people understand how the system works and its limitations *Accountability* – keep humans and organizations responsible for AI outcomes ✅ How These Principles Apply to Generative AI (Azure OpenAI) Risks: hallucinations, bias, harmful or misleading content, privacy leaks Guardrails: content filters, safety settings, prompt design, human review Governance: defining responsibilities, monitoring outputs, responding to misuse You will also see *exam-style hints* such as: “The model systematically favors one group” ➜ Fairness “No monitoring of model performance in production” ➜ Reliability & Safety “Sensitive data is exposed in logs or prompts” ➜ Privacy & Security “Users with disabilities cannot use the solution” ➜ Inclusiveness “Users don’t understand how decisions are made” ➜ Transparency “No clear owner or review process for AI decisions” ➜ Accountability By the end of this lesson, you will be able to: Name and explain the six Microsoft Responsible AI principles Recognize which principle is being violated or respected in exam scenarios Identify *responsible AI considerations for generative AI* on Azure (a key AI-900 topic) Choose the answer that best aligns with ethical and responsible AI practices If this video helps you: 👍 Like the video 🔔 Subscribe to the channel for more AI-900 and Azure AI lessons 💬 Comment with a Responsible AI scenario you’d like to see explained in detail Keep watching the next lessons to complete your preparation for the *Microsoft Azure AI Fundamentals (AI-900)* certification.