Augmenting the Public Sector Workforce with AI Assistants and Intelligent Automation
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V6I4P121Keywords:
Artificial Intelligence, Public Sector Workforce, Intelligent Automation, Ai Assistants, Digital Government, Human–Ai Collaboration, E-GovernanceAbstract
Globally, all the organizations of the public sector experience increasing pressures due to population growth, financial limitations, regulatory ambiguity, and the increased demands of the citizens with the efficient, transparent and personalized services. The old system of bureaucracy the manual workflow, information systems that are siloed, and labor-intensive decision-making systems are becoming inefficient to address these requirements. Governments are in turn considering the adoption of Artificial Intelligence (AI) assistants and intelligent automation tools as a strategic tool to supplement and not substitute the workforce in the public sector. The current paper provides an extensive discussion of the ways in which AI assistants and intelligent automation can be integrated into the workflow of institutions of the public sector systematically to increase the workforce productivity, service quality, and responsiveness of the policy. The adoption of AI in the public sector should be more efficient but more accountable compared to the use of AI in the private sector, where the primary motivation is profit maximization. The paper gathers cross-disciplinary literature on the field of digital government, human-AI collaboration and robotic process automation (RPA), and decision intelligence to develop a theoretical basis of AI-enhanced public administration. It suggests a stratified methodological framework, which involves conversational AI assistants, workflow automation, decision-support analytics, and governance controls that can be deployed in the existing structures of the public sector. The framework is based on human-in-the-loop functioning, moral management, and construction of institutional capacity. Workload redistribution, automation impact assessment, and service latency reduction which are mathematical formulations are put forward to formalize performance evaluation. Several studies in the past have conducted mass digitization in governments and organizations have documented their results, and their reports are read to measure the efficiency and transparency results and workforce satisfaction. The findings indicate that human workers who will be liberated to perform tasks with greater value will see AI-based augmentation minimize the burden on administration, enhance decision consistency, and improve decision consistency when there are strong governance measures implemented. The paper ends with a description of implementation issues, ethics, and subsequent research directions, making AI assistants and intelligent automation the bases of resilient and people-oriented (citizen-centered) public sector ecosystems
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