Generative AI Risk Management and Ethics for Leaders

Generative AI offers transformative potential, but it also introduces unprecedented risks that leaders must navigate to protect their organizations. This course provides a strategic foundation for understanding these challenges, from content inaccuracies to complex security vulnerabilities. You will transition from a basic awareness of AI tools to a comprehensive understanding of how to govern their use responsibly. By exploring modern risk scenarios and ethical dilemmas, you will learn how to build a culture of trust and compliance around emerging technologies. What you'll learn: - Understand essential generative AI terminology and how these models function. - Identify business model risks and the impact of AI-generated inaccuracies. - Implement robust data privacy and security protocols to prevent organizational leaks. - Develop ethical AI principles to guide responsible decision-making. - Address "Shadow AI" by creating clear internal usage policies and governance. - Navigate the landscape of modern AI governance and regulatory expectations. The course begins with a thorough introduction to AI concepts before moving into specific risk domains, including security, ethics, and operational integrity. It is designed for executives, managers, and business leaders who are new to AI governance and require a clear, text-based roadmap for strategic oversight. Prepare your organization to adopt generative AI with confidence and integrity.