Evaluating AI Implementation in Government Agencies: A Project Management Approach
Year: 2026
Type: conference-paper
Abstract: Artificial intelligence (AI) is increasingly being incorporated into government organizations to enhance decision-making, improve public service delivery, and streamline administrative processes. Conversely, owing to the complex nature of public sector environments, encompassing regulatory constraints, governance requirements, organizational change, and public accountability, the assessment of AI implementation remains a challenging and underdeveloped domain. The existing research exhibits a deficiency in comprehensive evaluation approaches that integrate managerial and societal issues, predominantly concentrating on technological performance or isolated use cases. This study presents a paradigm for assessing the adoption of artificial intelligence in government organizations, grounded in project management processes. The proposed Artificial Intelligence Implementation Evaluation Framework (AIIEF) encompasses five major dimensions: public benefit, strategic alignment, data and technology preparedness, organizational readiness, and governance and risk management. A thorough analysis of current literature about the application of artificial intelligence in the public sector was performed to create the framework. The findings indicate that the implementation of artificial intelligence should be assessed not just for its technological efficacy but also as a complex socio-technical endeavor including various stakeholders, risks, and their associated consequences. The study not only offers valuable insights to project managers and politicians but also contributes to the advancement of systematic evaluation methodologies for AI-driven public sector change.
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7203618151