Democratizing AI in public administration: improving equity through maximum feasible participation

Abstract In an era defined by the global surge in the adoption of AI-enabled technologies within public administration, the promises of efficiency and progress are being overshadowed by instances of deepening social inequality, particularly among vulnerable populations. To address this issue, we argue that democratizing AI is a pivotal step toward fostering trust, equity, and fairness within our societies. This article navigates the existing debates surrounding AI democratization but also endeavors to revive and adapt the historical social justice framework, maximum feasible participation, for contemporary participatory applications in deploying AI-enabled technologies in public administration. In our exploration of the multifaceted dimensions of AI’s impact on public administration, we provide a roadmap that can lead beyond rhetoric to practical solutions in the integration of AI in public administration.

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Publication Details

Journal
AI & Society
Published
2024-11-07
DOI
https://doi.org/10.1007/s00146-024-02120-w
Citations
6
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
3.16
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article

Democratizing AI in public administration: improving equity through maximum feasible participation

Senthujan Senkaiahliyan, John W. Murphy, William T. Hoston, Randon R. Taylor
6 citations
AI & Society
Ethics and Social Impacts of AI
3.16
article

Democratizing AI in public administration: improving equity through maximum feasible participation

Senthujan Senkaiahliyan, John W. Murphy, William T. Hoston, Randon R. Taylor
article en
6 citations

Abstract

Abstract In an era defined by the global surge in the adoption of AI-enabled technologies within public administration, the promises of efficiency and progress are being overshadowed by instances of deepening social inequality, particularly among vulnerable populations. To address this issue, we argue that democratizing AI is a pivotal step toward fostering trust, equity, and fairness within our societies. This article navigates the existing debates surrounding AI democratization but also endeavors to revive and adapt the historical social justice framework, maximum feasible participation, for contemporary participatory applications in deploying AI-enabled technologies in public administration. In our exploration of the multifaceted dimensions of AI’s impact on public administration, we provide a roadmap that can lead beyond rhetoric to practical solutions in the integration of AI in public administration.

AI & SocietyVol. 40(5)
University of Miami (US), University of Toronto (CA), Prairie View A&M University (US), Amsterdam University of the Arts (NL), University of Amsterdam (NL)
No poverty, Reduced inequalities
Openalex Percentile: Top 7%
Ethics and Social Impacts of AI
3.16
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Democratizing AI in public administration: improving equity through maximum feasible participation — Senthujan Senkaiahliyan, John W. Murphy, et al. · AI & Society (2024) | TGRS Research Map | TGRS