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  4. Artificial Intelligence, Surveillance, and Big Data
 
Zitierlink DOI
10.26092/elib/1570

Artificial Intelligence, Surveillance, and Big Data

Veröffentlichungsdatum
2022-05-30
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. This chapter examines 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 case of China, 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

; 

surveillance

; 

big data
Institution
Universität Bremen  
Fachbereich
Fachbereich 07: Wirtschaftswissenschaft (FB 07)  
Institute
Diginomics Research Group  
Dokumenttyp
Bericht, Report
Serie(s)
Diginomics Working Paper  
Band
0016
Zweitveröffentlichung
Nein
Lizenz
https://creativecommons.org/licenses/by/4.0/
Sprache
Englisch
Dateien
Lade...
Vorschaubild
Name

Diginomics Working Paper - May 2022, No0016.pdf

Size

485.14 KB

Format

Adobe PDF

Checksum

(MD5):5a598576366f1d705a460e7f830e4b2f

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