Leading Artificial Intelligence Integration: Trust, Tension, and Decision-Making

Artificial intelligence integration in education is advancing faster than shared trust and understanding are being established. Educational leaders are responding in real-time to questions of risk and efficacy while navigating conditions that are still forming. This article situates artificial intelligence integration within the paradox of educational leadership, identifying trust as the critical condition shaping leaders’ interpretations of the tensions. Leveraging paradox and trust theory, the article explores how competing demands are not problems to be solved, but tensions to be navigated. When trust is present, leaders respond to tension points through both/and sense-making; when trust is absent, decision-making collapses into either/or approaches. The article offers actionable practices for building shared understanding, establishing guardrails, and creating conditions for the integration of reflective, contextually responsive artificial intelligence.