This work develops a Digital Investment Governance (DIG) framework tailored to Indonesian civil servants (Aparatur Sipil Negara/ASN) in response to the growing influence of artificial intelligence (AI)-mediated financial technologies. As fintech platforms, robo-advisory systems, algorithmic trading tools, and digital asset exchanges become increasingly accessible, civil servants are now participating in complex digital financial ecosystems that extend beyond the reach of traditional integrity regulations. Existing civil service ethics frameworks in Indonesia primarily focus on asset disclosure, conflict-of-interest prevention, and anti-corruption compliance. However, these mechanisms were designed in a pre-algorithmic era and do not adequately address emerging challenges such as algorithmic opacity, automated portfolio dynamics, cybersecurity risks, or cross-platform digital exposure. This study identifies a governance gap at the intersection of personal financial autonomy and institutional legitimacy. Using a normative-institutional analytical approach, the article integrates Public Value Theory, Institutional Theory, Ethical Leadership, and AI Governance to construct a structured reform model. The proposed DIG framework consists of four interconnected pillars: Ethical Leadership Reinforcement, Institutional Safeguards, Algorithmic Accountability Mechanisms, and Information Governance Integration. Together, these pillars aim to strengthen transparency, proportional oversight, and institutional coordination while preserving public trust. This study contributes to digital public administration scholarship by extending AI governance discourse into the domain of civil servant financial conduct and offers policy-oriented insights for advancing integrity-centered public sector reform in Indonesia’s evolving digital governance landscape.
Kaplale et al. (Sat,) studied this question.
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