Human-AI Interaction Requirements in Public Sector Procurements

2026-06-19

AI Summary

This study addresses the frequent omission of human-AI interaction requirements in public-sector procurement of AI systems, which hinders the operationalization of ethical principles. To bridge this gap, the work proposes a structured taxonomy of interaction requirements, systematically integrating human-computer interaction considerations into public procurement frameworks. By aligning public procurement regulations with AI ethics guidelines and employing conceptual modeling and requirements engineering methodologies, the proposed taxonomy serves as an actionable procurement instrument. It enables public authorities to explicitly specify desired interaction attributes directly within tender documents, thereby enhancing transparency, accountability, and meaningful human oversight in deployed AI systems. This approach effectively translates abstract ethical commitments into concrete, enforceable procurement criteria.

Abstract

Public sector organizations increasingly procure AI-enabled ICT systems to support decision-making and service delivery. Although ethical AI frameworks emphasize transparency, accountability, and human oversight, these principles are rarely translated into explicit requirements in procurement processes. Consequently, human-AI interaction (HAI) is often left to vendor design choices. This paper conceptualizes HAI as a procurement-critical design dimension and proposes a taxonomy of interaction requirements tailored to public sector ICT procurement. The taxonomy enables contracting authorities to specify and govern interaction properties through procurement instruments, supporting both ethical compliance and sustainable value realization.

Problem

• Human-AI Interaction
• Public Sector Procurement
• AI Ethics
• Procurement Requirements
• ICT Systems

Innovation

• Human-AI Interaction
• Public Sector Procurement
• AI Governance
• Ethical AI
• Requirement Taxonomy