TL;DR
This study reconceptualizes policy automation as a human– AI co-agency problem and derives governance constraints for preserving traceability, bounding autonomy, and governing shared vocabulary evolution from elaborated Action Design Research methods.
A design-science framework for institutional legacy: the durable capacity of a decision system to continue producing beneficial, lawful, explainable, and adaptable outcomes after its original designers have stepped away is developed.
It is predicted that expected record advantage will increase agent selection near evidence thresholds, while anticipated exposure will reduce recorded deployment in high-discretion tasks, and governance implications include human–AI evidentiary parity, substantive-performance floors, review authority, and proportionate...
It is argued that while AI offers efficiency and scale, it simultaneously amplifies risks of discrimination, erodes perceived justice, demands new governance architectures, and necessitates a fundamental reorientation of HR competencies toward judgment, ethics, oversight, and human-centric capabilities.
AI systems increasingly enter organizations through policies, procedures, playbooks, prompts, and other explicit representations of work. Yet formal descriptions often differ from situated practice, and captured know-what can omit the contextual know-how experts use when judgments are uncertain. We argue that a recurri...
As artificial intelligence (AI) agents assume the information-routing functions that have defined organisational hierarchy since the Roman Army, the traditional organisational chart is giving way to a new form: an hourglass. In this emerging structure, a broad base of agents handles execution, a concentrated top layer...
Agentic artificial intelligence (AI) shifts digital government from systems that generate recommendations toward networked systems that perceive, plan, communicate, invoke tools, initiate actions, and adapt with limited direct supervision. This article examines agentic AI as an intelligent cybersecurity governance prob...
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