Lu writes and teaches about data privacy laws, 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 on artificial intelligence regulation explores the intersection of AI innovations, corporate governance theories, and law (including privacy, intellectual property, and antidiscrimination), investigating how such interdisciplinary perspectives contribute to the formulation of algorithmic governance.
She is also a certified information privacy professional for both the United States and Europe, accredited by the International Association of Privacy Professionals.
