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AI-Driven Public Administration Could Reinforce Transparency and Accountability in Papua New Guinea

Author

Listed:
  • Victor Jima

    (School of Economics, Wuhan University of Technology, Wuhan, China)

  • Alfred Jima

    (Department of Mechanical Engineering, South Dakota State University, South Dakota, United States)

Abstract

Public administration in Papua New Guinea (PNG) faces ongoing challenges, including inefficiencies, accountability issues, and limited transparency. This study explores the potential of artificial intelligence (AI) as a catalyst for governance reform, improving administrative performance when integrated within supportive institutional environments. Using a mixed-method approach, the research combines qualitative insights with quantitative modeling, developing the AI-Governance Transparency–Accountability Model (AIG-TAM). This framework investigates how ethical governance (E), institutional readiness (R), and AI adoption (A) influence transparency (T), accountability (C), and citizen trust (U). Findings from scenario simulations and comparisons with Estonia, Rwanda, and Kenya suggest that technological investments can enhance governance only if paired with strong ethical standards and administrative capacity. For PNG, these insights advocate for an ethics-driven, capacity-building approach focused on participatory oversight, algorithmic accountability, and human-centered design. This research contributes to the discourse on digital governance in small island developing states, demonstrating AI's role in promoting transparency and accountability.

Suggested Citation

  • Victor Jima & Alfred Jima, 2025. "AI-Driven Public Administration Could Reinforce Transparency and Accountability in Papua New Guinea," Post-Print hal-05842962, HAL.
    • Handle: RePEc:hal:journl:hal-05842962
    DOI: 10.59324/ejmeb.2025.2(6).14
    as

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