Creating an AI Testbed for Government
Summary
The United States should establish a testbed for government-procured artificial intelligence (AI) models used to provide services to U.S. citizens. At present, the United States lacks a uniform method or infrastructure to ensure that AI systems are secure and robust. Creating a standardized testing and evaluation scheme for every type of model and all its use cases is an extremely challenging goal. Consequently, unanticipated ill effects of AI models deployed in real-world applications have proliferated, from radicalization on social media platforms to discrimination in the criminal justice system. Increased interest in integrating emerging technologies into U.S. government processes raises additional concerns about the robustness and security of AI systems.
Establishing a designated federal AI testbed is an important part of alleviating these concerns. Such a testbed will help AI researchers and developers better understand how to construct testing methods and ultimately build safer, more reliable AI models. Without this capacity, U.S. agencies risk perpetuating existing structural inequities as well as creating new government systems based on insecure AI systems — both outcomes that could harm millions of Americans while undermining the missions that federal agencies are entrusted to pursue.
Innovation Ecosystem Job Board connects scientists, engineers, technologists, and skilled federal workers and contractors who have recently departed government service with the emerging innovation ecosystems across America.
Most patient safety challenges are not really captured and there are not enough tools to empower clinicians to improve. Here are four proposals for improving patient safety that are worthy of attention and action.
If space is there, and if we are going to climb it, then regulatory reform must be a challenge that we are willing to accept, something that we are unwilling to postpone, for a competition that we intend to win.
To better understand what might drive the way we live, learn, and work in 2050, we’re asking the community to share their expertise and thoughts about how key factors like research and development infrastructure and automation will shape the trajectory of the ecosystem.