Artificial Intelligence Governance for Innovation and Resilient Data Security in Academic Institutions

Abstract

The rapid adoption of Artificial Intelligence (AI) presents a significant challenge for Indonesian higher education institutions to balance innovation with resilient data security. The study is among the first to integrated AI Governance for Innovation and Resilient Data Security (AIG-IRDS) model, including ISO/IEC 42001, ISO/IEC 27001, the NIST-AI Risk Management Framework, Zero Trust Architecture principles, and COBIT 2019, along with national regulations such as the PDP Law. This integrated model establishes an adaptive, auditable, and ambidextrous governance framework that enables institutions to sustain innovation while ensuring trust, compliance, and data resilience. The research employs a conceptual empirical hybrid design combining expert panel validation, limited case studies and a proof-of-concept evaluation two universities in Indonesia. Quantitative results reveal significant improvements of 76% in governance maturity, 77% in auditability, and 39% in AI-driven innovation measured over 12 weeks. These findings confirm the model’s effectiveness in enhancing institutional trust, compliance readiness, and secure AI adoption, while fostering innovation within a standardized governance framework. Theoretically, this study contributes by operationalizing ambidextrous AI governance, extending IT governance and risk management models. Practically, it offers a replicable blueprint for secure and ethical AI deployment in higher education aligned with both global standards and local regulatory expectations.

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