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Design Insights From Building Trustworthy Ai For Public Policymaking: A Trade And Nutrition Project

Year: 2026

Type: article

Abstract: Governments are increasingly adopting AI to support public services, yet general-purpose tools introduce risks such as unverifiable sources, limited transparency, and governance outside institutional control.This paper draws on an industry-academia project that built a domain-specific AI knowledge platform for policymakers working at the intersection of trade and nutrition.The goal was not a perfect product but replicable protocols and practical knowledge about what trustworthy public sector AI requires.Two prototypes were developed through iterative co-design with public health experts, IS scholars, and policymakers across four countries, within four months and under tight budget constraints.Three insights emerged: trustworthiness must be built into system architecture from the outset; real-world constraints can produce more equitable and sustainable design decisions; and documenting design rationale is itself an accountability requirement.

Source: Journal of the Association for Information Systems

Authors: Chen, Angelina Ying, Ciriello, Raffaele, Thow, Anne-Marie, Chakori, Sabrina, Garton, Kelly

Institutions: The University of Sydney, University of Technology Sydney, University of Auckland

Language: English

Topic: E-Government and Public Services

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

OpenAlex ID: W7163843134

FWCI:

Cites: 9

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Related to: 10