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.
The United States should take the diplomatic lead in developing multilateral protocols to resolve conflicts and facilitate the peaceful development of a space mining sector.
ARPA-I is the newest addition to a long line of successful ARPAs that continue to deliver breakthrough innovations across the defense, intelligence, energy, and health sectors.
Do you have ideas that could inform an ambitious project that FESI has a comparative advantage pursuing? We want to hear it.
Friends of FESI have identified priority use cases to inform project ideas.