This project asks how law can better protect low-income people from harms caused by data-driven technologies. Automated systems are excluding low-income people from opportunities such as education and housing, while targeting them for financial and workplace exploitation. They are also subject to greater surveillance in their homes, neighborhoods, schools, and workplaces. In the United States, people often must challenge these systems using outdated legal tools, while the EU has adopted stronger data privacy and AI laws. The project asks what the United States can learn from the European Union’s more robust data privacy and AI laws. The project compares technology governance in the United States and the European Union, with special attention to Germany and the Netherlands. The project examines not only laws and court decisions, but it also explores the impact of these regimes on low-income people through interviews with lawyers, academics, and civil society organizations working on digital rights and economic justice.