A National AI for Good Initiative
Summary
Artificial intelligence (AI) and machine learning (ML) models can solve well-specified problems, like automatically diagnosing disease or grading student essays, at scale. But applications of AI and ML for major social and scientific problems are often constrained by a lack of high-quality, publicly available data—the foundation on which AI and ML algorithms are built.
The Biden-Harris Administration should launch a multi-agency initiative to coordinate the academic, industry, and government research community to support the identification and development of datasets for applications of AI and ML in domain-specific, societally valuable contexts. The initiative would include activities like generating ideas for high-impact datasets, linking siloed data into larger and more useful datasets, making existing datasets easier to access, funding the creation of real-world testbeds for societally valuable AI and ML applications, and supporting public-private partnerships related to all of the above.
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.