Abstract for: Leveraging AI within Systems Dynamics to Transform Governance and Leadership in South African Municipalities

This study examines the integration of Artificial Intelligence (AI) into the governance and leadership structures of South African municipalities through the perspective of systems dynamics. Using qualitative approach, and policy research, this paper highlights essential archetypes in systems dynamics, particularly emphasizing the "Shifting the Burden" archetype. This pattern demonstrates that short-term initiatives, including reactive governance measures, do not effectively tackle profound structural issues in municipalities. The study advocates for the adoption of a "Inclusive AI-Governance Loop" model, defined by ongoing learning, flexible decision-making, and active stakeholder involvement. The findings reflect AI's transformational potential in enhancing leadership capabilities and changing governance frameworks. The paper concludes by recommending a framework for the implementation of AI-driven governance in South African municipalities, highlighting capacity enhancement, ethical AI utilization, and collective leadership. The effective integration of AI in governance requires a redefinition of leadership roles and stakeholder dynamics. Conventional top-down leadership methods are inadequate in the realm of intricate, technology-driven systems. The proposed approach advocates for collaborative, transformational leadership that fosters innovation and diversity. Leaders must have technical literacy and strategic acumen to manage AI integration proficiently. Transformational leadership, characterized by vision, adaptability, and stakeholder collaboration, is essential for cultivating trust and facilitating technological adoption (Bass & Riggio, 2006). Grammarly, AI was used to check grammar errors, and used software to generate archetypes