AI Bibliography
AI Bibliography |
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Waltzman, R., Ablon, L., Curriden, C., Hartnett, G. S., Holliday, M. A., & Ma, L., et al.. (2020). Maintaining the competitive advantage in artificial intelligence and machine learning RAND Corporation Santa Monica United States. |
| Resource type: Report/Documentation BibTeX citation key: Waltzman2020 View all bibliographic details  |
Categories: Artificial Intelligence, Computer Science, Data Sciences, Decision Theory, General, Geopolitical, Military Science Subcategories: Air Force, Autonomous systems, Big data, Decision making, Edge AI, Machine learning, Military research, Strategy, United States Creators: Ablon, Curriden, Hartnett, Holliday, Ma, Nichiporuk, Scobell, Tarraf, Waltzman Publisher: RAND Corporation Santa Monica United States Collection: |
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Artificial intelligence AI technologies hold the potential for becoming critical force multipliers in future military capabilities. Indeed, China has identified AI as key to enhancing national competitiveness and protecting national security and has put forth a national AI plan representing a whole-of-society approach that is backed by significant investments. The plan is guided by a set of milestone goals intended to position the Peoples Republic of China as the worlds leader in AI innovation by 2030. In spring 2018, given the potential significance of AI technologies for the U.S. Department of Defense DoD and national security, the Vice Chief of the Air Force asked RAND to examine the competitive standing of the United States relative to China. If DoD has a competitive advantage, what should it do to maintain it If DoD does not have a competitive advantage, what should it do to achieve and maintain it The results of this research will help inform the choices of the U.S. government in general and DoD in particular regarding waysactivities, posture, and capability developmentthat AI and machine learning technologies can be advanced and countered to meet present and future security challenges.
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