| Artificial Intelligence (AI) continues to grow across industries, yet its rapid adoption raises ethical concerns, especially in Indonesia where regulatory structures and public understanding of AI ethics are still emerging. This study adopts the Fuzzy DEMATEL method to analyze the causal relationships between eight AI ethical principles adapted from the Australian AI Ethics Principles, used here as an international benchmark. Survey responses from 109 Indonesian AI stakeholders, including AI developers, users, and practitioners, were used to assess which principles act as key drivers and which are more influenced outcomes. The analysis reveals that Accountability, Transparency and Explainability, Contestability, and Privacy Protection and Security function as the causal principles, while Fairness, Human-Centered Values, Human, Societal, and Environmental Wellbeing, and Reliability and Safety emerge as key effects. These findings suggest that structural improvements in data protection, fairness safeguards, and system integrity are foundational to fostering ethical AI in Indonesia. This research provides actionable insights for national policymakers and AI stakeholders to better align ethical frameworks with Indonesia’s socio-technical context. |