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.
Here’s how the Department of Energy can utilize Other Transaction Authority to invest in and kickstart a new era of abundant and firm geothermal energy.
As Congress moves forward with the appropriations process, both the House and Senate have proposed various provisions related to artificial intelligence (AI) and machine learning (ML) across different spending bills.
The looming competition for global talent has brought forth a necessity to evaluate and update the policies concerning international visa holders in the United States.
Despite the hype, the uptake of geothermal energy is still relatively low, with only 0.4% of U.S. electricity generated by geothermal.