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Have Your Data and Use It Too: A Federal Initiative for Protecting Privacy while Advancing AI
Summary
The Biden-Harris Administration should aim to make the United States a world leader in privacy-preserving machine learning (PPML), a collection of new artificial intelligence (AI) techniques capable of providing the benefits of machine learning while minimizing data-privacy concerns. By some estimates, improvements to the speed, accuracy, and scale of AI could augment global GDP by 14%, or $15.7 trillion, by 2030. Yet Americans fear that expansion of AI will have moderate to severe negative consequences. They are particularly concerned about the privacy implications of how companies and agencies use personal data to generate new developments. To assuage these concerns, this proposal recommends targeted initiatives for the Biden-Harris Administration to bring PPML techniques to maturity, including
- Investing in PPML research and development.
- Identifying compelling opportunities to apply PPML techniques at the federal level.
- Creating frameworks and technical standards to facilitate wider deployment of PPML techniques.
Congress should foster a more responsive and evidence-based ecosystem for GenAI-powered educational tools, ensuring that they are equitable, effective, and safe for all students.
Without independent research, we do not know if the AI systems that are being deployed today are safe or if they pose widespread risks that have yet to be discovered, including risks to U.S. national security.
Companies that store children’s voice recordings and use them for profit-driven applications without parental consent pose serious privacy threats to children and families.
Privacy laws are only effective if they include civil rights protections that ensure personal data is processed safely and fairly regardless of race, gender, sexuality, age, or other protected characteristics.