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巩固美国人工智能的领导地位:人工智能研究与开发RESULT

Cementing American Artificial Intelligence Leadership: AI Research & Development

发布机构 [20015]新美国安全中心

发布时间 2020-01-01

主题 人工智能;国家战略;颠覆性技术;深度学习;大国竞争;跨国合作

年份 2020

 

摘要:

The private sector, academia, and the government have a long history of collaborating to advance technological innovation. Academia, often through support of federally funded grants, historically has conducted much of the basic research that has enabled the private sector to advance applied research and commercialize technologies. This partnership, however, is being strained by recent innovations in machine learning whose advancement relies on large datasets and compute resources that are increasingly unavailable to academic researchers. To ensure the United States is maximizing its R&D potential and to ensure the entire R&D cycle from basic research to commercialization is fully utilized, the partnership of government, academia, and the private sector must be strengthened to ensure each has adequate access to the resources they need while protecting intellectual property rights and data privacy. This includes standardizing and making current and future government datasets more readily available to the private sector and academia to facilitate training of machine learning models. Under the OPEN Government Data Act of 2019, federal agencies are required by statute to make available government datasets in standardized, machine-readable formats. Doing so will help to address data scarcity problems, especially for entities with significant resource constraints such as startups or some university researchers, by expanding the number of open-source high-quality datasets and increasing access to compute resources.