Chinese Public AI R&amp;D Spending: Provisional Findings

Acharya, Ashwin; Arnold, Zachary

doi:10.51593/20190031

Cited by 18 publications

(9 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Using a different methodology and set of source documents, past CSET analysis estimated a ceiling for Chinese defense-related AI research at "no more than about 19 billion RMB ($2.7 billion)" in 2018, "and possibly much less." 42 Our analysis supports the conclusion that annual Chinese military spending on AI is in the low billions of U.S. dollars.…”

Section: Pricing Chinese Military Ai Developmentsupporting

confidence: 78%

Harnessed Lightning: How the Chinese Military is Adopting Artificial Intelligence

Fedasiuk¹,

Melot²,

Murphy³

2021

View full text Add to dashboard Cite

This report examines nearly 350 artificial intelligence-related equipment contracts awarded by the People’s Liberation Army and state-owned defense enterprises in 2020 to assess how the Chinese military is adopting AI. The report identifies China’s key AI defense industry suppliers, highlights gaps in U.S. export control policies, and contextualizes the PLA’s AI investments within China’s broader strategy to compete militarily with the United States.

show abstract

Section: Pricing Chinese Military Ai Developmentsupporting

confidence: 78%

Harnessed Lightning: How the Chinese Military is Adopting Artificial Intelligence

Fedasiuk¹,

Melot²,

Murphy³

2021

View full text Add to dashboard Cite

show abstract

“…While the USA invested US$ 18.2 bn into AI between 2012 and 2016 (Buchanan, 2019), Germany is set to spend €5 bn by 2025 (European Commission, 2020). Surprisingly, although China aims to become the world's primary AI innovation center, with estimated investments between $1.7 and $5.7 bn in 2018 (Acharya and Arnold, 2019), comparatively few articles include Chinese data. Finally, although some studies focused on the effectiveness of AI in enhancing financial inclusion, only a few articles are set within the context of developing nations (e.g.…”

Section: Publication Trendsmentioning

confidence: 99%

Artificial intelligence in customer-facing financial services: a systematic literature review and agenda for future research

Hentzen

Hoffmann

Dolan

et al. 2021

IJBM

100

View full text Add to dashboard Cite

PurposeThe objective of this study is to provide a systematic review of the literature on artificial intelligence (AI) in customer-facing financial services, providing an overview of explored contexts and research foci, identifying gaps in the literature and setting a comprehensive agenda for future research.Design/methodology/approachCombining database (i.e. Scopus, Web of Science, EBSCO, ScienceDirect) and manual journal search, the authors identify 90 articles published in Australian Business Deans Council (ABDC) journals for investigation, using the TCCM (Theory, Context, Characteristics and Methodology) framework.FindingsThe results indicate a split between data-driven and theory-driven research, with most studies either adopting an experimental research design focused on testing the accuracy and performance of AI algorithms to assist with credit scoring or investigating AI consumer adoption behaviors in a banking context. The authors call for more research building overarching theories or extending existing theoretical perspectives, such as actor networks. More empirical research is required, especially focusing on consumers' financial behaviors as well as the role of regulation, ethics and policy concerned with AI in financial service contexts, such as insurance or pensions.Research limitations/implicationsThe review focuses on AI in customer-facing financial services. Future work may want to investigate back-office and operations contexts.Originality/valueThe authors are the first to systematically synthesize the literature on the use of AI in customer-facing financial services, offering a valuable agenda for future research.

show abstract

“…Of particular note are the EU's ambition to become a normative power in the field, in accordance with the "Brussels effect", and the important role that transatlantic cooperation is set to play, through the inclusion of AI in a top position among cooperation initiatives between the US and EU. This is especially important, as China aims to become "the world's primary AI innovation center" by 2030 (Acharya and Arnold, 2019) and new patterns of development and forms of competition emphasize AI as a key battleground in determining the superpowers of tomorrow.…”

Section: Discussionmentioning

confidence: 99%

“…The impact of AI would be extraordinary just from an economic standpoint, but its dual use nature and contribution to capabilities related to state power in the military and intelligence domains make dominance in the field a key bellwether for superpower status in the future. Drake (2022) points out that all major contenders for superpower status are investing heavily in AI, with the US planning to spend 4 billion dollars in the 2022-2023 fiscal years, Russia planning to spend 3.9 billion dollars between 2020 and 2024 (Markotkin and Chernenko, 2020) and China having already spent 1.6-5.4 billion dollars on AI in 2018 alone (Acharya and Arnold, 2019).…”

Section: Introductionmentioning

confidence: 99%

Cyber Diplomacy in the Governance of Emerging AI Technologies - A Transatlantic Example

Georgescu¹

2022

IJCD

View full text Add to dashboard Cite

Artificial Intelligence is an emerging technology which has a transformative potential in wide array of technological fields within the economic, industrial, social, political, intelligence and military domains. For this reason, the governance of AI technology development and implementation has also become a factor of concern not just among policy and decision-makers, but also among the public. With AI's potential impact on state power through its dual and strategic uses, the issue of AI governance is now firmly ensconced in global discourse and is a subdomain of cyber diplomacy. This article defines the main issues of AI governance, presents the emerging role of the EU as a normative power in this respect and also highlights the potential of transatlantic cooperation in the context of wider global rivalries in the technological field.

show abstract

Chinese Public AI R&D Spending: Provisional Findings

Cited by 18 publications

References 1 publication

Harnessed Lightning: How the Chinese Military is Adopting Artificial Intelligence

Harnessed Lightning: How the Chinese Military is Adopting Artificial Intelligence

Artificial intelligence in customer-facing financial services: a systematic literature review and agenda for future research

Cyber Diplomacy in the Governance of Emerging AI Technologies - A Transatlantic Example

Contact Info

Product

Resources

About