Navigating AI Regulations: A Business Guide to Risk, Responsibility, and Strategy

In this course, Vilas Dhar helps business decision-makers make sense of AI regulation: what it is, why it matters now, and how to respond with clarity and confidence. It introduces key concepts in global and domestic AI policy and translates them into practical tools for managing risk, accountability, and internal governance. Explore why regulation is accelerating and how frameworks like the EU AI Act and emerging US state laws are shaping expectations across sectors. Examine what makes an AI system high risk and how to apply that lens inside your own organization. Step through a practical structure for building internal policies, clarifying roles, and supporting leadership decisions about AI use and oversight. Plus, build up a shared vocabulary for cross-functional conversations and a stronger sense of how to lead or support responsible AI governance in real business environments.

Learning objectives
Explain how global and domestic AI regulations are evolving and why they matter for business.
Interpret the core structure of the EU AI Act and compare it with emerging US state laws and international frameworks.
Assess AI systems using a risk-based approach grounded in use case and impact.
Support leadership in making informed, accountable decisions about AI strategy and adoption.
Develop internal policies and workflows that align with external regulatory expectations.
Use a shared vocabulary to lead or contribute to conversations about AI governance across teams and functions.