Responsible AI Concepts for AI-102 Map, Measure, Mitigate, Manage скачать в хорошем качестве

Responsible AI Concepts for AI-102 Map, Measure, Mitigate, Manage

Generative AI is powerful — but without responsibility, it can become dangerous. In this video, we break down the core principles of Responsible AI and explain how organizations build AI systems that are safe, fair, and reliable. You’ll learn: ✔ The risks of generative AI ✔ Why responsible AI is critical in real-world deployments ✔ The 4-stage framework: Map, Measure, Mitigate, and Manage ✔ Pre-launch and operational safety planning ✔ Real-time safeguards and monitoring strategies ✔ How tools like Microsoft Foundry Content Safety help manage risks This is an important topic for: AI-102 certification preparation AI engineers and developers Anyone building generative AI applications Professionals working with enterprise AI systems Responsible AI isn’t just a checklist — it’s a continuous cycle of identifying, measuring, and mitigating risks. If you're serious about building production-ready AI solutions, this topic is essential. 💬 Comment below: Do you think AI regulation should be stricter? 👍 Like this video if it helped 🔔 Subscribe for more AI-102 concepts and AI engineering content Disclaimer: This course is independently created. It is not affiliated with or endorsed by Microsoft. All explanations, concepts, and practice materials are original. They are designed only for educational purposes. This course does NOT contain any actual certification exam questions The content is based on publicly available documentation, real-world scenarios, and personal experience. All product names, logos and trademarks are property of their respective owners. Their use here is solely for identification and educational purposes. Always refer to the Microsoft documentation for accurate and up to date information.