Generative AI Governance, Policy, and Risk Management

As generative AI rapidly transforms industries, organizations must balance innovation with safety, compliance, and ethical responsibility. Understanding how to govern these powerful technologies is no longer optional for modern professionals. This course guides you through the foundational principles of AI governance, helping you establish policies that protect data, mitigate risks, and align with emerging global regulations. You will transition from understanding basic AI concepts to confidently evaluating and managing generative AI risks within any organizational setting. What you'll learn: - Understand the foundational concepts of generative artificial intelligence and the core pillars of responsible AI. - Identify and mitigate key security and ethical risks, including bias, hallucination, prompt injection, and data privacy concerns. - Analyze emerging global policy frameworks and regulatory compliance standards to ensure organizational alignment. - Establish robust data management and transparency practices for deploying model architectures safely. - Conduct comprehensive risk and impact assessments for generative AI tools used across business operations. - Formulate internal AI governance policies to manage shadow AI and guide ethical employee usage. The journey begins with essential terminology and the ethical foundations of AI, before moving into practical risk management, regulatory landscapes, and the creation of actionable corporate policies. Designed entirely for beginners, this text-based course requires no prior technical or legal background, making it ideal for managers, policy makers, and professionals entering the AI space. Start reading today to build a secure and compliant future for AI in your organization.