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Citation link: https://doi.org/10.26092/elib/1168
Artificial Intelligence, Surveillance, and Big Data_01.11.2021(1).pdf
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Artificial Intelligence, Surveillance, and Big Data


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Artificial Intelligence, Surveillance, and Big Data_01.11.2021(1).pdf767.79 kBAdobe PDFView/Open
Authors: Karpa, David 
Klarl, Torben  
Rochlitz, Michael  
Publisher: Institute for Economic Research and Policy (IERP) 
Abstract: 
The most important resource to improve technologies in the field of artificial intelligence is data. Two types of policies are crucial in this respect: privacy and data-sharing regulations, and the use of surveillance technologies for policing. Both types of policies vary substantially across countries and political regimes. In this paper, we examine how authoritarian and democratic political institutions can influence the quality of research in artificial intelligence, and the availability of large-scale datasets to improve and train deep learning algorithms. We focus mainly on the Chinese case, and find that –
ceteris paribus – authoritarian political institutions continue to have a negative effect on innovation. They can, however, have a positive effect on research in deep learning, via the availability of large-scale datasets that have been obtained through government surveillance. We propose a research agenda to study which of the two effects might dominate in a race for leadership in artificial intelligence between countries with different political institutions, such as the United States and China.
Keywords: Artificial intelligence; political institutions; big data; surveillance; innovation; China
Issue Date: 1-Nov-2021
Journal/Edited collection: Bremen Papers on Economics & Innovation 
Band: 2108
Type: Bericht, Report
ISSN: 2629-3994
DOI: 10.26092/elib/1168
URN: urn:nbn:de:gbv:46-elib54294
Institution: Universität Bremen 
Faculty: Fachbereich 07: Wirtschaftswissenschaft (FB 07) 
Institute: Institute for Economic Research and Policy (IERP) 
Appears in Collections:Forschungsdokumente

  

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