Data privacy has emerged as a leading public policy challenge and objective in the United States. At the same time, artificial intelligence (AI) has quickly emerged as a key technology in virtually every industry sector in the country. These two converging trends portend a coming collision between AI and privacy law, because the new forms of AI (i.e., machine learning) are based on AI systems having access to large sets of data, and often personal data. Potential flashpoints for this coming collision include facial recognition technology, health data privacy, consumer profiling, and autonomous cars, among others. This presentation will discuss the potential tensions between data privacy and AI, and explore possible regulatory and non-regulatory solutions to the problem.