Sylvia Lu is a faculty fellow and a visiting assistant professor at the University of Michigan Law School. Her teaching and research interests lie in the interplay of law, innovation, and society.
Lu writes and teaches about data privacy laws, artificial intelligence regulations, innovation theory, and comparative law, with a particular focus on the United States, the European Union, and China. Her recent projects examine how classic corporate theory could be advanced to restructure the regulatory frameworks and governance systems on algorithmic innovations to safeguard civic rights.
Her award-winning scholarship has appeared or will appear in the California Law Review, the Vanderbilt Journal of Entertainment and Technology Law, and other publications. At the University of California, Berkeley, she was a Robbins Fellow and a two-time winner of the Aldo Test Award for her papers on algorithmic transparency and corporate social disclosures. Her doctoral dissertation, a monograph on artificial intelligence regulations and algorithmic governance, provides an in-depth assessment of contemporary American, European, and Asian legal approaches to address novel algorithmic harms in defense of democratic values.
In addition to her scholarship, Lu holds CIPP/US and CIPP/Europe certifications from the International Association of Privacy Professionals and advocates for minorities in technology law and beyond.