AI Governance and Compliance: Ethics, Risk, and Regulation

As artificial intelligence rapidly integrates into daily business operations, organizations face the critical challenge of deploying these technologies safely and ethically. Understanding how to manage AI risks and comply with emerging global standards is no longer optional—it is a core business requirement. This text-based course equips you with the fundamental principles of AI governance, risk management, and compliance. You will transition from understanding basic ethical concepts to analyzing real-world compliance frameworks, preparing you to help organizations deploy AI systems that are transparent, fair, and secure. What you'll learn: - Understand the core principles of AI ethics, including fairness, accountability, transparency, and data privacy. - Identify and mitigate common AI risks, such as algorithmic bias, data leakage, and security vulnerabilities. - Analyze major global regulatory frameworks, including the foundational principles of the EU AI Act and the NIST AI Risk Management Framework. - Establish basic governance workflows and compliance checks for deploying machine learning models responsibly. - Evaluate the ethical implications of generative AI and foundation models in enterprise environments. The curriculum begins with foundational definitions of AI ethics and governance before moving into practical risk assessment methodologies and global compliance standards. Through structured written lessons and conceptual exercises, you will learn how to build trust and maintain compliance in any AI-driven initiative. This course is designed for beginners, business professionals, risk managers, and aspiring compliance officers who want to understand the ethical and regulatory landscape of AI without needing a technical programming background. Start building your foundation in responsible AI management today.