Human‑AI Collaboration for Shaping Government Policy and Decision‑Making
DETAILS
Call for Papers – Human‑AI Collaboration for Shaping Government Policy and Decision‑Making
Journal: Government Information Quarterly
Publisher: Elsevier
Submission deadline: 1 November 2026
This special issue focuses on human–AI collaboration as a foundation for AI‑supported government policy design and decision‑making, with particular emphasis on upstream, anticipatory policy work and real‑world implementation. It seeks to advance understanding of how humans and AI can co‑produce policy alternatives, scenarios, and foresight analyses, while embedding transparency, fairness, accountability, and public value into algorithmic governance.
Types of research this SI invites
Type of research | Typical focus |
|---|---|
Conceptual / theory‑building | Models of human‑AI co‑production and anticipatory governance |
Empirical / case studies | AI‑supported policy and decision‑making in welfare, regulation, public safety, digitalisation, etc. |
Methodological work | Explainable AI, audits, and other tools to support human oversight |
Guest editors
Dr Vincent Charles, Queen’s University Belfast, UK
Dr Tatiana Gherman, University of Northampton, UK
Prof Euripidis Loukis, University of the Aegean, Greece
List of suggested topic areas
Human‑AI collaboration for upstream policy design and scenario generation
Frameworks for human‑AI cooperation in government decision‑making (resource allocation, eligibility, evaluation)
Effects of AI on bureaucratic discretion: “curtailment” vs “enablement” of human judgement
Human‑in‑the‑loop and human‑centric AI governance (transparency, explainability, trust, accountability)
Agentic AI and generative AI (LLMs) in policy analysis, scenario modelling, and decision support
Ethical, legal, and rights‑based challenges (bias, discrimination, displacement, legitimacy)
Citizen engagement and co‑creation in AI‑driven policy design and monitoring
Institutional capacity‑building, organisational design, and training for AI‑enabled governance
Comparative studies of AI‑supported policy and decision‑making across countries or levels of government
Submission information
Submissions open on 1 September 2026 and close on 1 November 2026.
Manuscripts (25–30 double‑spaced pages, including references, tables, and appendices) must be submitted via the journal’s portal:
https://www.editorialmanager.com/GIQ
Select the article type for this special issue or clearly indicate submission to “Human‑AI Collaboration for Shaping Government Policy and Decision‑Making” in your cover letter.
Follow the journal’s Guide for Authors:
https://www.sciencedirect.com/journal/government-information-quarterly/publish/guide-for-authors
All contributions should include a dedicated section on implications for policy design and decision‑making, explicitly linking findings to future‑oriented, responsible AI‑enabled governance and public‑value creation.
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