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  4. Artificial Intelligence, Surveillance, and Big Data
 
Zitierlink DOI
10.26092/elib/1168

Artificial Intelligence, Surveillance, and Big Data

Veröffentlichungsdatum
2021-11-01
Autoren
Karpa, David  
Klarl, Torben  
Rochlitz, Michael  
Zusammenfassung
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.
Schlagwörter
Artificial intelligence

; 

political institutions

; 

big data

; 

surveillance

; 

innovation

; 

China
Institution
Universität Bremen  
Fachbereich
Fachbereich 07: Wirtschaftswissenschaft (FB 07)  
Institute
Institute for Economic Research and Policy (IERP)  
Dokumenttyp
Bericht, Report
Zeitschrift/Sammelwerk
Bremen Papers on Economics & Innovation  
Band
2108
Zweitveröffentlichung
Nein
Lizenz
http://creativecommons.org/licenses/by-nc-nd/3.0/de/
Sprache
Englisch
Dateien
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Artificial Intelligence, Surveillance, and Big Data_01.11.2021(1).pdf

Size

767.79 KB

Format

Adobe PDF

Checksum

(MD5):5c06526a290b9867ecfa1eca47f65be5

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