Course Description
Designing Compliance Frameworks for AI Startups in China and the USA is a timely and practical course tailored for legal professionals, compliance officers, startup founders, and policy advocates navigating the fast-evolving AI regulatory space. As artificial intelligence becomes increasingly central to business models, particularly in tech-forward jurisdictions like China and the United States, startups must understand and anticipate a wide range of legal obligations and ethical responsibilities. This course delivers a comparative perspective on AI governance, helping participants grasp the fundamental differences and overlaps between U.S. and Chinese regulatory regimes.
Participants will explore core topics such as federal and state-level AI-related laws in the U.S., including the California Consumer Privacy Act and voluntary governance frameworks like NIST AI RMF. In parallel, they’ll examine China’s algorithmic regulations, the Personal Information Protection Law (PIPL), and recent enforcement actions led by the Cyberspace Administration of China (CAC). Through deep dives into data privacy, consent, ethics, and cross-border compliance challenges, this course prepares legal professionals to advise or lead in high-stakes regulatory environments.
From identifying legal risks to designing governance structures, risk assessments, and compliance plans, the course offers a practical roadmap for embedding compliance into the AI product lifecycle. Participants will apply their knowledge through case studies and a hands-on compliance framework workshop, gaining actionable insights they can immediately implement. Whether you support an AI startup or advise corporate clients, this course equips you with the tools to navigate AI regulation with confidence and foresight.
