AI Ethics, Policy & Governance In United State of America

This course explores the critical aspects of AI governance, ethics, and policy-making within enterprise and public contexts. Over 1.5 days, participants will gain a comprehensive understanding of the core principles of responsible AI, including fairness, accountability, transparency, and privacy. The course examines regulatory frameworks and emerging policies that shape the ethical deployment of AI systems. Through interactive workshops, case studies, and policy analysis, learners will develop skills to identify AI risks such as biases, discrimination, and privacy breaches and design governance mechanisms to mitigate them.

The curriculum includes studying real-world examples of AI regulation and ethical dilemmas and applying interdisciplinary approaches from technology, social sciences, and public policy. Participants will explore frameworks like the Trustworthy AI Cycle to embed ethical considerations across the AI lifecycle—from design, testing, and deployment to monitoring and auditing.

The program prepares leaders, policymakers, and professionals to communicate AI ethical issues effectively, advocate for responsible AI practices, and contribute to policy development that ensures AI benefits society while minimizing harm. Assignments include policy memo creation and group projects that foster critical thinking and innovation in AI governance.

This course is ideal for professionals responsible for AI strategy, risk management, compliance, and ethical leadership who want to build sustainable AI governance aligned with organizational values and legal requirements.