Jianxiang Tan
Dados Biográficos
| ID | 4453794 |
|---|---|
| NOME | Jianxiang Tan |
| PRENOMES | Jianxiang |
| SOBRENOME | Tan |
| ASSINATURA | TAN J |
| AFILIAÇÕES | City University of Hong Kong |
| ORCID | 0009-0008-2900-3826 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2026 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
AI street-level bureaucracy
Artificial intelligence (AI) is increasingly employed in street-level bureaucratic encounters, giving rise to AI street-level bureaucrats (AI SLBs). Yet how specific attributes of working alongside AI SLBs shape preferences for public sector employment remains poorly understood. We conducted a discrete choice experiment (n = 1,320 observations) and follow-up interviews (n = 40) with final-year master’s students in Hong Kong to examine tradeoffs a…
Governing Military Artificial Intelligence Technologies
Re‐Imagining the Epistemic Possibilities of GPT for Public Administration Research in Competitive Settings
Innovation is desirable for the public sector. Yet understanding what and how some innovation projects survive and thrive in a competitive landscape—or public sector innovation—is often challenging. The challenges not only rest in the invisibility of the features of an innovation to human eyes but also in the lack of their accessibility for analysis. This study showcases a methodological framework using a generative pre‐trained transformer (GPT) …
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AI street-level bureaucracy
Artificial intelligence (AI) is increasingly employed in street-level bureaucratic encounters, giving rise to AI street-level bureaucrats (AI SLBs). Yet how specific attributes of working alongside AI SLBs shape preferences for public sector employment remains poorly understood. We conducted a discrete choice experiment (n = 1,320 observations) and follow-up interviews (n = 40) with final-year master’s students in Hong Kong to examine tradeoffs a…
Governing Military Artificial Intelligence Technologies
Re‐Imagining the Epistemic Possibilities of GPT for Public Administration Research in Competitive Settings
Innovation is desirable for the public sector. Yet understanding what and how some innovation projects survive and thrive in a competitive landscape—or public sector innovation—is often challenging. The challenges not only rest in the invisibility of the features of an innovation to human eyes but also in the lack of their accessibility for analysis. This study showcases a methodological framework using a generative pre‐trained transformer (GPT) …
Ethics and Social Impacts of AI (2 obras) · Public sector (2 obras) · Applications of artificial intelligence (1 obras) · Competitive advantage (1 obras) · Computational and Text Analysis Methods (1 obras) · Cybersecurity and Cyber Warfare Studies (1 obras) · Digital Economy and Work Transformation (1 obras) · Generative grammar (1 obras) · Government (linguistics (1 obras) · Innovative Approaches in Technology and Social Development (1 obras)