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.
The Federation of American Scientists supports Congress’ ongoing bipartisan efforts to strengthen U.S. leadership with respect to outer space activities.
By preparing credible, bipartisan options now, before the bill becomes law, we can give the Administration a plan that is ready to implement rather than another study that gathers dust.
Even as companies and countries race to adopt AI, the U.S. lacks the capacity to fully characterize the behavior and risks of AI systems and ensure leadership across the AI stack. This gap has direct consequences for Commerce’s core missions.
As states take up AI regulation, they must prioritize transparency and build technical capacity to ensure effective governance and build public trust.