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A shallow defence of a technocracy of artificial intelligence: Examining the political harms of algorithmic governance in the domain of government

Artificial intelligence (AI) has proven to be superior to human decision-making in certain areas. This is particularly the case whenever there is a need for advanced strategic reasoning and analysis of vast amounts of data in order to solve complex problems. Few human activities fit this description...

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Autor principal: Sætra, Henrik Skaug
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author. Published by Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278651/
https://www.ncbi.nlm.nih.gov/pubmed/32536737
http://dx.doi.org/10.1016/j.techsoc.2020.101283
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author Sætra, Henrik Skaug
author_facet Sætra, Henrik Skaug
author_sort Sætra, Henrik Skaug
collection PubMed
description Artificial intelligence (AI) has proven to be superior to human decision-making in certain areas. This is particularly the case whenever there is a need for advanced strategic reasoning and analysis of vast amounts of data in order to solve complex problems. Few human activities fit this description better than politics. In politics we deal with some of the most complex issues humans face, short-term and long-term consequences have to be balanced, and we make decisions knowing that we do not fully understand their consequences. I examine an extreme case of the application of AI in the domain of government, and use this case to examine a subset of the potential harms associated with algorithmic governance. I focus on five objections based on political theoretical considerations and the potential political harms of an AI technocracy. These are objections based on the ideas of ‘political man’ and participation as a prerequisite for legitimacy, the non-morality of machines and the value of transparency and accountability. I conclude that these objections do not successfully derail AI technocracy, if we make sure that mechanisms for control and backup are in place, and if we design a system in which humans have control over the direction and fundamental goals of society. Such a technocracy, if the AI capabilities of policy formation here assumed becomes reality, may, in theory, provide us with better means of participation, legitimacy, and more efficient government.
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spelling pubmed-72786512020-06-09 A shallow defence of a technocracy of artificial intelligence: Examining the political harms of algorithmic governance in the domain of government Sætra, Henrik Skaug Technol Soc Article Artificial intelligence (AI) has proven to be superior to human decision-making in certain areas. This is particularly the case whenever there is a need for advanced strategic reasoning and analysis of vast amounts of data in order to solve complex problems. Few human activities fit this description better than politics. In politics we deal with some of the most complex issues humans face, short-term and long-term consequences have to be balanced, and we make decisions knowing that we do not fully understand their consequences. I examine an extreme case of the application of AI in the domain of government, and use this case to examine a subset of the potential harms associated with algorithmic governance. I focus on five objections based on political theoretical considerations and the potential political harms of an AI technocracy. These are objections based on the ideas of ‘political man’ and participation as a prerequisite for legitimacy, the non-morality of machines and the value of transparency and accountability. I conclude that these objections do not successfully derail AI technocracy, if we make sure that mechanisms for control and backup are in place, and if we design a system in which humans have control over the direction and fundamental goals of society. Such a technocracy, if the AI capabilities of policy formation here assumed becomes reality, may, in theory, provide us with better means of participation, legitimacy, and more efficient government. The Author. Published by Elsevier Ltd. 2020-08 2020-06-08 /pmc/articles/PMC7278651/ /pubmed/32536737 http://dx.doi.org/10.1016/j.techsoc.2020.101283 Text en © 2020 The Author Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Sætra, Henrik Skaug
A shallow defence of a technocracy of artificial intelligence: Examining the political harms of algorithmic governance in the domain of government
title A shallow defence of a technocracy of artificial intelligence: Examining the political harms of algorithmic governance in the domain of government
title_full A shallow defence of a technocracy of artificial intelligence: Examining the political harms of algorithmic governance in the domain of government
title_fullStr A shallow defence of a technocracy of artificial intelligence: Examining the political harms of algorithmic governance in the domain of government
title_full_unstemmed A shallow defence of a technocracy of artificial intelligence: Examining the political harms of algorithmic governance in the domain of government
title_short A shallow defence of a technocracy of artificial intelligence: Examining the political harms of algorithmic governance in the domain of government
title_sort shallow defence of a technocracy of artificial intelligence: examining the political harms of algorithmic governance in the domain of government
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278651/
https://www.ncbi.nlm.nih.gov/pubmed/32536737
http://dx.doi.org/10.1016/j.techsoc.2020.101283
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