EconPapers    
Economics at your fingertips  
 

Artificial Intelligence Governance

Georgios I. Zekos
Additional contact information
Georgios I. Zekos: International Hellenic University

Chapter Chapter 4 in Economics and Law of Artificial Intelligence, 2021, pp 117-146 from Springer

Abstract: Abstract AI is an approximation of human intelligence for the reason that it leaves open the prospect that AI will exceed human intelligence demonstrating a separate category of intelligence. Moreover, AI is interrelated to using computers to understand human intelligence, but it is not necessarily confined to methods that are biologically observable, which means that AI denotes the competence of a machine to imitate intelligent human behavior. The emerging digital lifeworld delivers resources for a new type of government, which means that the algorithmic government is about extracting facts, entities, concepts, and objects from vast repositories of data making those subjects and objects traceable and amenable to decision and action via the unavoidable power of inference. AAI systems host algorithmic governmentality encompassing governable subjects who function not as real people but rather as temporary aggregates of infra-personal data, which means that by numbering the system will control the globe via the deployment of statistical power encompassed by AAI systems.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-64254-9_4

Ordering information: This item can be ordered from
http://www.springer.com/9783030642549

DOI: 10.1007/978-3-030-64254-9_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:spr:sprchp:978-3-030-64254-9_4