FOUNDATIONAL AI: GOVERNANCE, RISK & PRACTICE
(LAWP-4110) - 2 UNITS

AI is reshaping the world - but enabling this new technology requires practitioners who understand how it operates. This course is designed for non-technical legal and business professionals seeking a plain-English understanding of how digitally driven organizations design, deploy, and maintain AI systems - and how leadership decisions at each stage affect real-world business outcomes. As a foundational course, it enables students to understand how specialized AI business and security course content fits within a coherent framework. Understanding the breadth of the AI ecosystem enables more informed and effective decision-making.

The course is structured around three pillars: a technical primer, a geopolitical and regulatory overview, and a risk and security module. Students will examine how business, technical, and geopolitical factors shape how AI systems are developed, deployed, and secured. The course also introduces how governance and oversight structures guide how these systems are managed in practice to achieve business objectives. Finally, it provides business and technical analyses of how current and emerging AI systems - such as generative AI, agentic AI, and AI-enabled robotic and autonomous systems - operate.

Through structured simulations and applied exercises, students will practice shaping real-world AI design and deployment decisions.
The goal is to equip future business and technology lawyers with the fluency needed to engage effectively with business and technical stakeholders across enterprise, government, and national security domains. The course will prepare students to translate complex systems into structured, actionable guidance that enables organizations to deploy AI responsibly and achieve their strategic objectives.

Pass/Fail:
No

Prerequisites:
None