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Setting the AI Agenda : Evidence from Sweden in the ChatGPT Era

Bruinsma, Bastiaan ; Fredén, Annika LU orcid ; Hansson, Kajsa LU ; Johansson, Moa ; Kisić-Merino, Pasko and Saynova, Denitsa (2024) 2nd Workshop on Fairness and Bias in AI, AEQUITAS 2024 In CEUR Workshop Proceedings 3808.
Abstract

This paper examines the development of the Artificial Intelligence (AI) meta-debate in Sweden before and after the release of ChatGPT. From the perspective of agenda-setting theory, we propose that it is an elite outside of party politics that is leading the debate – i.e. that the politicians are relatively silent when it comes to this rapid development. We also suggest that the debate has become more substantive and risk-oriented in recent years. To investigate this claim, we draw on an original dataset of elite-level documents from the early 2010s to the present, using op-eds published in a number of leading Swedish newspapers. By conducting a qualitative content analysis of these materials, our preliminary findings lend support to... (More)

This paper examines the development of the Artificial Intelligence (AI) meta-debate in Sweden before and after the release of ChatGPT. From the perspective of agenda-setting theory, we propose that it is an elite outside of party politics that is leading the debate – i.e. that the politicians are relatively silent when it comes to this rapid development. We also suggest that the debate has become more substantive and risk-oriented in recent years. To investigate this claim, we draw on an original dataset of elite-level documents from the early 2010s to the present, using op-eds published in a number of leading Swedish newspapers. By conducting a qualitative content analysis of these materials, our preliminary findings lend support to the expectation that an academic, rather than a political elite is steering the debate.

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Abstract (Swedish)
This paper examines the development of the Artificial Intelligence (AI) meta-debate in Sweden before and after the release of ChatGPT. From the perspective of agenda-setting theory, we propose that it is an elite outside of party politics that is leading the debate – i.e. that the politicians are relatively silent when it comes to this rapid development. We also suggest that the debate has become more substantive
and risk-oriented in recent years. To investigate this claim, we draw on an original dataset of elite-level documents from the early 2010s to the present, using op-eds published in a number of leading Swedish newspapers. By conducting a qualitative content analysis of these materials, our preliminary findings lend support to... (More)
This paper examines the development of the Artificial Intelligence (AI) meta-debate in Sweden before and after the release of ChatGPT. From the perspective of agenda-setting theory, we propose that it is an elite outside of party politics that is leading the debate – i.e. that the politicians are relatively silent when it comes to this rapid development. We also suggest that the debate has become more substantive
and risk-oriented in recent years. To investigate this claim, we draw on an original dataset of elite-level documents from the early 2010s to the present, using op-eds published in a number of leading Swedish newspapers. By conducting a qualitative content analysis of these materials, our preliminary findings lend support to the expectation that an academic, rather than a political elite is steering the debate. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
agenda setting, AI debate, AI risk, qualitative content analysis, Sweden, AI, bias, agenda-setting
host publication
CEUR Workshop Proceedings : 2nd Workshop on Fairness and Bias in AI - 2nd Workshop on Fairness and Bias in AI
series title
CEUR Workshop Proceedings
volume
3808
pages
14 pages
publisher
CEUR-WS
conference name
2nd Workshop on Fairness and Bias in AI, AEQUITAS 2024
conference location
Santiago de Compostela, Spain
conference dates
2024-10-20
external identifiers
  • scopus:85210006519
ISSN
1613-0073
project
Bias and methods of AI technology studying political behavior
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2024 Copyright for this paper by its authors.
id
ce88c330-d0e4-4eea-b1af-e93e97926677
alternative location
https://ceur-ws.org/Vol-3808/paper1.pdf
date added to LUP
2025-01-28 13:55:53
date last changed
2025-05-06 20:33:50
@inproceedings{ce88c330-d0e4-4eea-b1af-e93e97926677,
  abstract     = {{<p>This paper examines the development of the Artificial Intelligence (AI) meta-debate in Sweden before and after the release of ChatGPT. From the perspective of agenda-setting theory, we propose that it is an elite outside of party politics that is leading the debate – i.e. that the politicians are relatively silent when it comes to this rapid development. We also suggest that the debate has become more substantive and risk-oriented in recent years. To investigate this claim, we draw on an original dataset of elite-level documents from the early 2010s to the present, using op-eds published in a number of leading Swedish newspapers. By conducting a qualitative content analysis of these materials, our preliminary findings lend support to the expectation that an academic, rather than a political elite is steering the debate.</p>}},
  author       = {{Bruinsma, Bastiaan and Fredén, Annika and Hansson, Kajsa and Johansson, Moa and Kisić-Merino, Pasko and Saynova, Denitsa}},
  booktitle    = {{CEUR Workshop Proceedings : 2nd Workshop on Fairness and Bias in AI}},
  issn         = {{1613-0073}},
  keywords     = {{agenda setting; AI debate; AI risk; qualitative content analysis; Sweden; AI; bias; agenda-setting}},
  language     = {{eng}},
  month        = {{10}},
  publisher    = {{CEUR-WS}},
  series       = {{CEUR Workshop Proceedings}},
  title        = {{Setting the AI Agenda : Evidence from Sweden in the ChatGPT Era}},
  url          = {{https://ceur-ws.org/Vol-3808/paper1.pdf}},
  volume       = {{3808}},
  year         = {{2024}},
}