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Artificial Intelligence, Datafication and Exploring the Minimum Content of Nationality

Tucker, Jason Edward LU (2024) In Statelessness and Citizenship Review 6(1). p.124-129
Abstract
The paper examines how the increasing datafication of society and advancements in artificial intelligence (AI) offer new empirical opportunities to better understand the Minimum Content of Nationality (MCN). Despite the critical importance of the MCN in statelessness, it has largely been ignored in academic and policy circles. The ambiguity that results from this lack of engagement greatly complicates efforts to identify and protect people affected by statelessness. I argue that there is growing potential to draw on the massive increase in data on the everyday lived experiences of individuals, along with advances in AI technologies, to help narrow in on the MCN. The article sets out a future research agenda as well as highlighting the... (More)
The paper examines how the increasing datafication of society and advancements in artificial intelligence (AI) offer new empirical opportunities to better understand the Minimum Content of Nationality (MCN). Despite the critical importance of the MCN in statelessness, it has largely been ignored in academic and policy circles. The ambiguity that results from this lack of engagement greatly complicates efforts to identify and protect people affected by statelessness. I argue that there is growing potential to draw on the massive increase in data on the everyday lived experiences of individuals, along with advances in AI technologies, to help narrow in on the MCN. The article sets out a future research agenda as well as highlighting the limitations, ethical considerations and potential risks associated with using AI in this context. (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Artificial intelligence (AI), datafication, minimum content of nationality, statelessness, Citizenship, Policy
in
Statelessness and Citizenship Review
volume
6
issue
1
pages
6 pages
ISSN
2652-1814
DOI
10.35715/SCR6001.116
project
Politics of AI & Health: From Snake Oil to Social Good - Funded by Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS)
language
English
LU publication?
no
id
5f215013-4e4a-467a-b153-95ced75c1ecb
date added to LUP
2024-08-28 11:11:10
date last changed
2024-09-12 16:20:37
@article{5f215013-4e4a-467a-b153-95ced75c1ecb,
  abstract     = {{The paper examines how the increasing datafication of society and advancements in artificial intelligence (AI) offer new empirical opportunities to better understand the Minimum Content of Nationality (MCN). Despite the critical importance of the MCN in statelessness, it has largely been ignored in academic and policy circles. The ambiguity that results from this lack of engagement greatly complicates efforts to identify and protect people affected by statelessness. I argue that there is growing potential to draw on the massive increase in data on the everyday lived experiences of individuals, along with advances in AI technologies, to help narrow in on the MCN. The article sets out a future research agenda as well as highlighting the limitations, ethical considerations and potential risks associated with using AI in this context.}},
  author       = {{Tucker, Jason Edward}},
  issn         = {{2652-1814}},
  keywords     = {{Artificial intelligence (AI); datafication; minimum content of nationality; statelessness; Citizenship; Policy}},
  language     = {{eng}},
  month        = {{12}},
  number       = {{1}},
  pages        = {{124--129}},
  series       = {{Statelessness and Citizenship Review}},
  title        = {{Artificial Intelligence, Datafication and Exploring the Minimum Content of Nationality}},
  url          = {{https://lup.lub.lu.se/search/files/194114556/Artificial_Intelligence_Datafication_and_Exploring_the_Minimum_Content_of_Nationality.pdf}},
  doi          = {{10.35715/SCR6001.116}},
  volume       = {{6}},
  year         = {{2024}},
}