Sylvia Lu is a faculty fellow at the University of Michigan Law School. Her teaching and research interests lie in the interplay of law, technological innovation, and society. Lu writes and teaches about data privacy law, artificial intelligence law, and comparative law. Her recent projects explore how the law can and should regulate algorithmic harms to safeguard civil rights and democratic values. Her scholarship has appeared or will appear in law journals such as the California Law Review, Florida Law Review, and Vanderbilt Journal of Entertainment and Technology Law. Her piece “Data Privacy, Human Rights, and Algorithmic Opacity” was selected as a winner of the Berkeley Technology Law Journal 2021 Writing Competition, and her article “Algorithmic Opacity, Private Accountability, and Corporate Social Disclosure in the Age of Artificial Intelligence” was the winning entry of the Berkeley Technology Law Journal 2020 Writing Competition. Lu’s doctoral dissertation and current projects explore the intersection of artificial intelligence applications, commercial innovations, and legal systems. Her work examines how to ensure that laws governing data-driven technologies, including information privacy, intellectual property, and artificial intelligence law, create a more just society where victims of AI-induced harms have effective legal recourse. She is also a certified information privacy professional for both the United States and Europe, accredited by the International Association of Privacy Professionals.