Messier than Oil: Assessing Data Advantage in Military AI

Applications in artificial intelligence such as self-driving cars may profoundly transform our society, yet emerging technologies are frequently faced with suspicion or even hostility. Meanwhile, public opinions about scientific issues are increasingly polarized along the ideological line. By analyzing a nationally representative panel in the United States, we reveal an emerging ideological divide in public reactions to self-driving cars. Compared with liberals and Democrats, conservatives and Republicans express more concern about autonomous vehicles and more support for restrictively regulating autonomous vehicles. This ideological gap is largely driven by social conservatism. Moreover, both familiarity with driverless vehicles and scientific literacy reduce respondents’ concerns over driverless vehicles and support for regulation policies. Still, the effects of familiarity and scientific literacy are weaker among social conservatives, indicating that people may assimilate new information in a biased manner that promotes their worldviews.

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Rising Sino-U.S. Competition in Artificial Intelligence

China Quarterly of International Strategic Studies ◽

10.1142/s2377740018500148 ◽

2018 ◽

Vol 04 (02) ◽

pp. 241-258 ◽

Cited By ~ 3

Author(s):

You Wang ◽

Dingding Chen

Keyword(s):

Artificial Intelligence ◽

United States ◽

The United States ◽

Cutting Edge ◽

The Other ◽

Strategic Competition ◽

Bilateral Relations ◽

The Future ◽

Important Field ◽

Political Security

Both China and the United States are international leaders in artificial intelligence (AI). Although there remains a significant gap between them in cutting-edge technologies, and they have adopted different methods of planning and implementation, both countries have been mobilizing national resources and formulating policies to promote AI development, so as to achieve a strategic advantage over the other, especially against the backdrop of ever more intense and complicated strategic competition between them in recent years. As an epitome of their changing relationship, Sino-U.S. competition in AI development is manifested in economic, political, security, technological and other fields. It is expected that artificial intelligence will become an even more important field of competition between China and the United States, and that the trends of AI development and competition will to some extent determine the future dynamics of their bilateral relations.

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China’s AI experience: industrial digitalization

RUDN Journal of Economics ◽

10.22363/2313-2329-2020-28-3-536-546 ◽

2020 ◽

Vol 28 (3) ◽

pp. 536-546

Author(s):

Marina S. Reshetnikova

Keyword(s):

Artificial Intelligence ◽

United States ◽

Global Economy ◽

The United States ◽

High Tech ◽

Global Innovation ◽

Innovative Products ◽

Fundamental Research ◽

The Moment

The rapid acceleration of scientific and technological progress, which started at the beginning of the 21st century, has become a decisive factor in influencing the global economy. Who will lead the global innovation race? This problem is especially relevant in the field of artificial intelligence (AI). At the moment, the United States and China are the main participants in the battle for dominance in this area. The author assesses Chinas innovative potential in the field of AI and identifies its achievements in this area. Based on the statistics provided, Chinas AI leadership has reached a critical point. China is confidently leading the new fundamental research of artificial intelligence, forming its theoretical base and applied research and development, which will contribute to the creation of new high-tech innovative products and services. However, in terms of the number and quality of AI specialists (AI Talents) and the number of companies engaged in AI, China is still lagging behind its main rival, namely the United States. The author proved that, despite the obvious successes of China, the United States still has an equal lead in the global innovation race.

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ARTIFICIAL INTELLIGENCE IN THE UNITED STATES

10.2307/j.ctv270kv9x.6 ◽

2022 ◽

pp. 5-12

Author(s):

Margaret A. Goralski ◽

Krystyna Górniak-Kocikowska

Keyword(s):

Artificial Intelligence ◽

United States ◽

The United States

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Conclusion

Calculating Race ◽

10.1093/oso/9780197504000.003.0006 ◽

2020 ◽

pp. 97-102

Author(s):

Benjamin Wiggins

Keyword(s):

Artificial Intelligence ◽

United States ◽

Machine Learning ◽

Risk Assessment ◽

Big Data ◽

The United States ◽

Blaise Pascal ◽

Division Problem ◽

The World

Can risk assessment be made fair? The conclusion of Calculating Race returns to actuarial science’s foundations in probability. The roots of probability rest in a pair of problems posed to Blaise Pascal and Pierre de Fermat in the summer of 1654: “the Dice Problem” and “the Division Problem.” From their very foundation, the mathematics of probability offered the potential not only to be used to gain an advantage (as in the case of the Dice Problem), but also to divide material fairly (as in the case of the Division Problem). As the United States and the world enter an age driven by Big Data, algorithms, artificial intelligence, and machine learning and characterized by an actuarialization of everything, we must remember that risk assessment need not be put to use for individual, corporate, or government advantage but, rather, that it has always been capable of guiding how to distribute risk equitably instead.

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Creation of the National Artificial Intelligence Research and Development Strategic Plan

AI Magazine ◽

10.1609/aimag.v39i2.2803 ◽

2018 ◽

Vol 39 (2) ◽

pp. 25-32 ◽

Cited By ~ 11

Author(s):

Lynne E. Parker

Keyword(s):

Artificial Intelligence ◽

United States ◽

Research And Development ◽

Task Force ◽

Strategic Plan ◽

The United States ◽

Federally Funded ◽

Artificial Intelligence Research ◽

Goals And Objectives ◽

Insight Into

In October 2016, the United States announced the release of the National Artificial Intelligence Research and Development Strategic Plan, which lays out a strategic plan for Federally-funded research and development in AI. As a coleader of the Task Force that developed this plan, I was asked to discuss its creation in an invited presentation at AAAI 2017. This article is based on that presentation, which outlines not only the Plan itself, but also provides insight into its goals and objectives, and background on how the Plan was created.

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Transport autonomiczny a polskie prawo w kolejnym 100-leciu niepodległości

Studia Iuridica ◽

10.5604/01.3001.0013.1865 ◽

2019 ◽

Vol 77 ◽

pp. 49-58

Author(s):

Aleksandra Frania

Keyword(s):

Artificial Intelligence ◽

United States ◽

European Union ◽

Everyday Life ◽

United States Of America ◽

The United States ◽

Legal Challenges ◽

Polish Law

The article presents legal challenges, that must be tackled by Polish jurisprudence in the upcoming next hundred years of Polish independence. As the key challenge, the author has indicated adaptation of Polish law to an increasingly common use of artificial intelligence in everyday life. But, the author focused his attention to use of artificial intelligence in transport. Concepts of this issue sanctioning were indicated on examples of European Union and the United States of America.

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Top powers race for artificially intelligent weapons

Emerald Expert Briefings ◽

10.1108/oxan-db239072 ◽

2018 ◽

Keyword(s):

Artificial Intelligence ◽

United States ◽

Private Sector ◽

The United States ◽

Content Type ◽

Reputational Risk ◽

Waking Up

Subject Innovation in artificial intelligence-enabled defence systems outside the United States. Significance Besides the United States, China and Russia seek a geostrategic advantage through artificial intelligence(AI)-enabled defence. European governments are also waking up to the potential of such systems, but their efforts are splintered. Impacts The feverish pace of development in China suggests its defence systems may be unreliable or unsafe initially. Western researchers will be more bound by ethical barriers than their Russian and Chinese counterparts. Private sector responses will balance commercial gain and reputational risk.

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