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- Berman, Alexander, 1979, et al.
(författare)
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Trustworthy AI in the public sector: An empirical analysis of a Swedish labor market decision-support system
- 2024
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Ingår i: Technology in society. - 0160-791X. ; 76:2024, s. 1-15
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Tidskriftsartikel (refereegranskat)abstract
- This paper investigates the deployment of Artificial Intelligence (AI) in the Swedish Public Employment Service (PES), focusing on the concept of trustworthy AI in public decision-making. Despite Sweden’s advanced digitalization efforts and the widespread application of AI in the public sector, our study reveals significant gaps between theoretical ambitions and practical outcomes, particularly in the context of AI’s trustworthiness. We employ a robust theoretical framework comprising Institutional Theory, the Resource-Based View (RBV), and Ambidexterity Theory, to analyze the challenges and discrepancies in AI implementation within PES. Our analysis shows that while AI promises enhanced decision-making efficiency, the reality is marred by issues of transparency, interpretability, and stakeholder engagement. The opacity of the neural network used by the agency to assess jobseekers’ need for support and the lack of comprehensive technical understanding among PES management contribute to the challenges in achieving transparent and interpretable AI systems. Economic pressures for efficiency often overshadow the need for ethical considerations and stakeholder involvement, leading to decisions that may not be in the best interest of jobseekers. We propose recommendations for enhancing AI’s trustworthiness in public services, emphasizing the importance of stakeholder engagement, particularly involving jobseekers in the decision-making process. Our study advocates for a more nuanced balance between the use of advanced AI technologies and the leveraging of internal resources such as skilled personnel and organizational knowledge. We also highlight the need for improved AI literacy among both management and personnel to effectively navigate AI’s integration into public decision-making processes. Our findings contribute to the ongoing debate on trustworthy AI, offering a detailed case study that bridges the gap between theoretical exploration and practical application. By scrutinizing the AI implementation in the Swedish PES, we provide valuable insights and guidelines for other public sector organizations grappling with the integration of AI into their decision-making processes.
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| 2. |
- de Fine Licht, Karl, 1979, et al.
(författare)
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Exploring the measurement of political trust: A multilevel observational analysis of six Swedish public agencies
- 2024
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Ingår i: Social Sciences and Humanities Open. - 2590-2911. ; 10
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Tidskriftsartikel (refereegranskat)abstract
- Political trust is a well-used construct and serves both as an explanation and an outcome in the social sciences. Considering the importance of the construct,relatively little attention has been allocated to its measurement. While the existing literature on the measurement of political trust focuses on either developing and validating new scales, or scaling and equivalence assessment of the more general measures, this article contributes by analysing the contents of the widely used survey items of political trust. Put differently, what is in a typical political trust measure? The analysis uses relevant observational data from Sweden (n = 1760)with repeated questions over six public agencies, where the typically used trust measurement is regressed on theoretically motivated psychological antecedents of trust using a hierarchical heteroskedastic ordered probit model. Results imply that the typical trust measurement contains traces of perceived competence and less so perceived motivation. The results also suggest that political actor sdo carry meaning beyond the trust construct, influencing both the location and scale of the response distribution.
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