Responsible AI and AI Governance

In this lesson, we will learn Responsible AI and AI Governance. Responsible AI usage, policy, data governance, access control, audit, human review, model monitoring and compliance will be explained with practical examples. ## Lesson objective In this lesson, we will learn Responsible AI and AI Governance. In the previous lesson, we covered AI risks. We explained hallucination, bias, privacy, security, prompt injection, data leakage, overreliance and human review. Now we move to managing those risks: Using AI is not only writing prompts. In a professional environment, AI usage requires rules, control, responsibility and measurement.