Democracy and data have a complicated relationship. Under the influence of big data and artificial intelligence, some democracies are being transformed, for better or worse, as relations between citizens, political parties, governments, and corporations are redrawn. As the pace of technological change accelerates, suffusing how we govern and are governed, there is an urgent need to assess these transformations. Artificial Democracy explores the ways in which data collection, analytics, and application are changing political practices, government policies, and democratic polities themselves. With an international roster of multidisciplinary contributors, this highly topical collection takes a comprehensive approach to big data’s effect on democracy through such topics as elections, political party interactions, government policies, and the ways we conceptualize the relationship between individuals and government. From the use of micro-targeting in electoral campaigns to the clash between privacy and surveillance in the name of protecting society during the COVID-19 pandemic, Artificial Democracy tackles both the dangers and the potentially desirable changes made possible by the symbiosis of big data and artificial intelligence. Along the way, it not only provides important insights about the current transformation of politics, policy, and polities, but also explores the effects, implications, opportunities, and risks that we should expect in the near future. This cutting-edge study will find an international readership of political scientists, legislators, bureaucrats, and stakeholders in cybersecurity, while attracting scholars and students of sociology, political communication, law, computer science, and philosophy.
Artificial Democracy: The Impact of Big Data on Politics, Policy, and Polity
Biancalana, Cecilia
;
In corso di stampa
Abstract
Democracy and data have a complicated relationship. Under the influence of big data and artificial intelligence, some democracies are being transformed, for better or worse, as relations between citizens, political parties, governments, and corporations are redrawn. As the pace of technological change accelerates, suffusing how we govern and are governed, there is an urgent need to assess these transformations. Artificial Democracy explores the ways in which data collection, analytics, and application are changing political practices, government policies, and democratic polities themselves. With an international roster of multidisciplinary contributors, this highly topical collection takes a comprehensive approach to big data’s effect on democracy through such topics as elections, political party interactions, government policies, and the ways we conceptualize the relationship between individuals and government. From the use of micro-targeting in electoral campaigns to the clash between privacy and surveillance in the name of protecting society during the COVID-19 pandemic, Artificial Democracy tackles both the dangers and the potentially desirable changes made possible by the symbiosis of big data and artificial intelligence. Along the way, it not only provides important insights about the current transformation of politics, policy, and polities, but also explores the effects, implications, opportunities, and risks that we should expect in the near future. This cutting-edge study will find an international readership of political scientists, legislators, bureaucrats, and stakeholders in cybersecurity, while attracting scholars and students of sociology, political communication, law, computer science, and philosophy.
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