Nisreen Ameen, University of Reading

Federico Iannacci, University of Sussex

Daniel Gozman, University of Sydney Business School

James S. Denford, Royal Military College of Canada

This special issue examines how artificial intelligence embedded in public services shapes policy-making and how policies configure AI's development and use. The dynamic interplay between technology and policy intensifies with AI's scale and opacity. The issue seeks to understand how this reciprocal relationship creates, distributes or undermines public value—encompassing efficiency, equity, transparency, participation and welfare.

The special issue invites Information Systems research that theorises AI as central to policy formation and enactment. Manuscripts should examine how AI systems shape policy problems and evidence, how organisations translate AI policies into practice, and how communities participate in defining public value. Qualitative, quantitative, design science and practitioner-oriented contributions are welcome.

All submissions must include dedicated policy implications sections. Research may be set in public, private or nonprofit sectors and should address whose interests are encoded in AI systems, who benefits, who bears risks and whose experiences remain invisible.

Appel publié par Information Systems Journal. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Creation and Distribution of Public Value: How AI creates, distributes or undermines public value, including efficiency, innovation, equity, participation, dignity, sustainability, security and welfare, and how related trade-offs are managed.
• AI Use and the Production of Policy: How AI models, data, classifications, system design and organisational routines shape policy problems, evidence, interventions and evaluation, and how policies evolve through AI-enabled systems.
• AI Governance Beyond Regulatory Compliance: How accountability, transparency, explainability, human oversight and decision authority are enacted in practice, and how AI governance can address societal purposes and outcomes beyond regulatory compliance.
• Policy Translation and Organisational Capability: How organisations translate AI-policy ambitions into procurement, system design, workforce skills, professional roles, implementation and service delivery, and build capabilities to sustain public value.
• Participation, Inequality and Contestation: How AI-enabled policies affect citizens and marginalised groups, reshape voice, access and opportunity, and enable affected communities to participate in defining public value.
• IS Knowledge and Policy Formation: How IS theory and evidence inform AI policy, and how research, practitioner insights and research–practice collaborations can connect evidence, policy, organisational practice and societal outcomes.

Timeline

• June 15, 2027: Submission deadline