AI Policy and Governance for Strategic Decision Makers

As artificial intelligence rapidly transforms public and private sectors, leaders must understand how to govern these technologies responsibly. This text-based course equips you with the fundamental knowledge to design, evaluate, and implement effective AI policies. You will transition from understanding basic AI terminology to confidently analyzing algorithmic bias, data privacy concerns, and compliance requirements. By exploring modern regulatory approaches and risk-management frameworks, you will gain the strategic tools needed to guide ethical AI adoption in any organizational or public governance setting. What you'll learn: - Understand the core concepts of machine learning, generative AI, and automated decision-making systems - Analyze ethical challenges including algorithmic bias, transparency, and data privacy in AI deployments - Evaluate modern risk-management frameworks and global regulatory trends - Design actionable AI governance policies tailored to organizational goals - Implement compliance strategies that balance technological innovation with public safety and trust You will start by mastering foundational AI terminology and ethical concepts before progressing to practical policy formulation and governance strategies. Through structured written analyses and real-world scenarios, you will learn to navigate compliance challenges systematically. This course is designed for policy makers, public administrators, compliance officers, and organizational leaders who are new to AI governance, with no prior technical or programming background required. Start reading today to build a solid foundation in responsible AI leadership and policy design.