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.
If AI systems are not always reliable and secure, this could inhibit their adoption, especially in high-stakes scenarios, potentially compromising American AI leadership.
To secure global adoption of U.S. AI technology and ensure America’s workforce can fully leverage advanced AI, the federal government should take a strategic and coordinated approach to support AI assurance and security R&D.
By providing essential funding mechanisms, the Bioeconomy Finance Program will reduce the risks inherent in biotechnology innovation, encouraging more private sector investment.
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.