Explaining the Principle-Practice Gap: Governance Capability Asymmetry in Nepal's Emerging AI Governance Framework

Background: Despite growing convergence around ethical AI principles, a persistent gap remains between high-level commitments and their operationalization, particularly in developing countries. Objectives: To examine the principle-practice gap as a governance capability challenge in Nepal’s emerging AI governance framework. Methods: A qualitative single-case study analyzed national policies, government decisions, sectoral frameworks, and supporting documentary evidence available from 2024 to mid-2026. Deductive thematic analysis used five New Public Governance (NPG) strands to identify governance arrangements and infer seven governance capability dimensions from their documentary specification. Results: Nepal has developed a broad AI governance architecture spanning all five NPG strands. Across seven governance capability dimensions, the documentary record shows greater specification of design capability than of mechanisms required to implement, enforce, steer, monitor, coordinate, and adapt governance arrangements depicting asymmetry in design and operationalization capability. Conclusion: In emerging AI governance framework characterized by technical complexity and distributed authority, the capability to design governance arrangements develops more extensively than the capabilities required to operationalize. Factors associated with it such as soft-law persistence, institutional immaturity, external dependence, limited smart-buyer capacity, coordination deficits, reliance on external expertise, and uneven institutional participation provide plausible governance-based explanations for the persistence of the principle-practice gap. Strengthening operational capability and matching governance arrangements to governance problems may help narrow the principle-practice gap. Novelty: The study integrates NPG and governance capability perspectives to examine how governance arrangements in an emerging AI governance framework reflect capability asymmetry and help explain the principle-practice gap.

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Publication Details

Journal
NPRC Journal of Multidisciplinary Research.
Published
2026-10-27
DOI
https://doi.org/10.3126/nprcjmr.v3i10.100729
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Explaining the Principle-Practice Gap: Governance Capability Asymmetry in Nepal's Emerging AI Governance Framework

Khem Raj Prasai
2 links
NPRC Journal of Multidisciplinary Research.
Ethics and Social Impacts of AI
article

Explaining the Principle-Practice Gap: Governance Capability Asymmetry in Nepal's Emerging AI Governance Framework

Khem Raj Prasai
article en

Abstract

Background: Despite growing convergence around ethical AI principles, a persistent gap remains between high-level commitments and their operationalization, particularly in developing countries. Objectives: To examine the principle-practice gap as a governance capability challenge in Nepal’s emerging AI governance framework. Methods: A qualitative single-case study analyzed national policies, government decisions, sectoral frameworks, and supporting documentary evidence available from 2024 to mid-2026. Deductive thematic analysis used five New Public Governance (NPG) strands to identify governance arrangements and infer seven governance capability dimensions from their documentary specification. Results: Nepal has developed a broad AI governance architecture spanning all five NPG strands. Across seven governance capability dimensions, the documentary record shows greater specification of design capability than of mechanisms required to implement, enforce, steer, monitor, coordinate, and adapt governance arrangements depicting asymmetry in design and operationalization capability. Conclusion: In emerging AI governance framework characterized by technical complexity and distributed authority, the capability to design governance arrangements develops more extensively than the capabilities required to operationalize. Factors associated with it such as soft-law persistence, institutional immaturity, external dependence, limited smart-buyer capacity, coordination deficits, reliance on external expertise, and uneven institutional participation provide plausible governance-based explanations for the persistence of the principle-practice gap. Strengthening operational capability and matching governance arrangements to governance problems may help narrow the principle-practice gap. Novelty: The study integrates NPG and governance capability perspectives to examine how governance arrangements in an emerging AI governance framework reflect capability asymmetry and help explain the principle-practice gap.

NPRC Journal of Multidisciplinary Research.Vol. 3(10)
Peace, justice, and strong institutions
Openalex Percentile: Top 8%
Ethics and Social Impacts of AI
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Explaining the Principle-Practice Gap: Governance Capability Asymmetry in Nepal's Emerging AI Governance Framework — Khem Raj Prasai · NPRC Journal of Multidisciplinary Research. (2026) | TGRS Research Map | TGRS