Rochlitz, Michael
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Item-typ:Veröffentlichung, Artificial Intelligence, Surveillance, and Big Data(2022-05-30); ; 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.BerichtBand:0016312 672 - Some of the metrics are blocked by yourconsent settings
Item-typ:Veröffentlichung, Staying Out of Trouble: Criminal Cases Against Russian Mayors(2020-07-09); ; ; Although repression against elites is a common occurrence in authoritarian regimes, we know little about which elites are targeted. This paper uses an original dataset on the prosecution of mayors in large Russian cities to examine the factors that make elites more likely to be arrested. We argue that in electoral authoritarian regimes like Russia, regime leaders are reluctant to arrest popular officials. Such officials command political capital that is useful to the regime, and arrests of prominent officials can produce popular backlash. We examine this argument using an original dataset on all arrests of municipal leaders in Russia's 221 largest cities between 2002 and 2018. We find that mayors who won their elections by large margins are less likely to be arrested. In addition, we demonstrate several other substantively important patterns: 1) a mayor's professional background is not related to the likelihood of arrest, 2) opposition mayors are four times more likely to be arrested, and 3) arrests are more likely in ethnic republics.Buch1061 1171 - Some of the metrics are blocked by yourconsent settings
Item-typ:Veröffentlichung, Artificial Intelligence, Surveillance, and Big Data(2021-11-01); ; 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.BerichtBand:2108337 456 - Some of the metrics are blocked by yourconsent settings
Item-typ:Veröffentlichung, Bureaucratic Discrimination in Electoral Authoritarian Regimes: Experimental Evidence from Russia(2020-04-26); ; Are investors in electoral authoritarian regimes discriminated against for political activism? In this paper, we implement a simple experiment to test whether affiliation with the ruling party or the political opposition affects the probability that investors receive advice from investment promotion agencies in Russian regions. Between December 2016 and June 2017, we sent 1504 emails with a short question and a number of randomized treatments to 188 investment promotion agencies in 70 Russian regions. Although investment promotion agencies are nominally depoliticized in Russia, we find that switching the political affiliation of a potential investor from the opposition party "Yabloko" to the government party "United Russia" on average increases the chances to receive a reply by 30%. The effect strongly depends on regional levels of political competition, with higher levels of discrimination in regions that are less politically competitive.Wissenschaftlicher Artikel581 1137