Strategically Constructed Narratives on Artificial Intelligence: What Stories Are Told in Governmental AI Policies?  

Details

Ressource 1Download: 1-s2.0-S0740624X22000521-main.pdf (3269.54 [Ko])
State: Public
Version: Author's accepted manuscript
License: CC BY-NC-ND 4.0
Serval ID
serval:BIB_F83E2FDDD6A8
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Strategically Constructed Narratives on Artificial Intelligence: What Stories Are Told in Governmental AI Policies?  
Journal
Government Information Quarterly
Author(s)
Guenduez Ali, Mettler Tobias
ISSN
0740-624X
Publication state
In Press
Peer-reviewed
Oui
Language
english
Abstract
What stories are told in national artificial intelligence (AI) policies? Combining the novel technique of structural topic modeling (STM) and qualitative narrative analysis, this paper explores and examines the policy narratives in 33 countries’ national AI policies. We uncover six common narratives that are dominating the political agenda concerning AI. Our findings show that the policy narratives’ salience vary across time and countries. The paper makes several contributions. First, our narratives describe well‐grounded, supportable conceptions of AI in governments, so as to contextualize and order a novel, multilayered, and controversial phenomenon. Building on the premise that human sensemaking is best represented and supported by narration, the paper addresses the applied rhetoric of governments to either belittle the risks or exalt the opportunities of AI. Second, we uncover the three prominent roles governments aim to take with regard to AI implementation, these are the role as enabler, leader, or regulator. Third, we make a methodological contribution toward data-driven computationally intensive theory development. Our methodological approach and identified narratives present key starting points for further research.
Keywords
Artificial intelligence (AI), policy research, structural topic modeling (STM), narrative policy framework (NPF), role of government
Open Access
Yes
Create date
06/06/2022 15:52
Last modification date
13/07/2022 6:13
Usage data