Abstract
Emerging technological models for data analysis and artificial intelligence (AI) are rapidly becoming decisive tools to strengthen the analytical and operational capacities of governments. When consolidated, these innovations directly enhance the design and implementation of public policies in sectors such as health, education, and infrastructure (Ruvalcaba, 2021). Beyond improving efficiency, they are reshaping governance itself: while the fundamental interaction between institutions, authorities, and citizens remains, the demand for transparency, accountability, and citizen engagement is rising sharply. This calls for new governance models capable of addressing the ethical challenges posed by AI, particularly those related to equity and the protection of fundamental rights (Hernández, 2023). At the same time, the integration of AI into project management is emerging as a catalyst for change, enabling states to move away from Weberian bureaucratic rigidity toward more adaptive and intelligent systems (Ríos, 2023). By leveraging predictive analytics and machine learning, governments can forecast outcomes with greater accuracy, optimize resource allocation, and minimize bottlenecks (Rogers, 2014). These advances not only streamline internal processes but also foster open data policies, expand spaces for citizen participation, and ultimately build greater public trust. This research highlights how the convergence of AI-driven governance and project management can reinforce state capabilities, strengthen democratic values, and create more transparent, inclusive, and effective institutions.
Presenters
Maria Elena Sanchez ZambranoEconomist, Management, Pontifical Catholic University of Perú, Lima, Peru
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
2026 Special Focus—The Social Impacts of Geopolitics: Interventions to Strengthen Humanity
KEYWORDS
Artificial Intelligence, Governance, Project Management, Predictive Analytics, Public Sector Innovation
