This course provides legal professionals, compliance officers, and technology executives with a focused exploration of the rapidly evolving legal landscape surrounding artificial intelligence (AI) and data privacy in the United States. With state-level activity (such as the California Consumer Privacy Act and Colorado Privacy Act), federal legislative proposals (e.g., the American Data Privacy and Protection Act), and the growing calls for AI-specific regulatory frameworks (like the Algorithmic Accountability Act), this course emphasizes practical legal training for corporate governance, product development compliance, and risk mitigation.
Course Objectives:
Participants will be able to:
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Analyze proposed and enacted AI and data privacy legislation in the U.S.
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Apply legal risk frameworks to AI systems, algorithms, and automated decision-making tools.
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Design compliance programs to align with U.S. data privacy laws and AI governance standards.
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Address corporate liability for AI use in high-risk and sensitive applications.
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Develop strategies for data minimization, transparency, fairness, and explainability in AI deployment.
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Prepare internal stakeholders and documentation in anticipation of regulatory enforcement or audits.
