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.
While the U.S. has made significant advancements and remained a global leader in biotechnology over the past decade, the next four years will be critical in determining whether it can sustain that leadership.
It’s paramount to balance both innovation capabilities and risk as we work towards ensuring that the U.S. bioeconomy is a priority area for both the Nation and for National Security.
The Federation of American Scientists supports the National Security Commission on Emerging Biotechnology’s Final Report and the Recommendations contained within it.
The U.S. should create a new non-governmental Innovation Accelerator modeled after the successful In-Q-Tel program to invest in small and mid-cap companies creating technologies that address critical needs of the United States.