Assessing Legal Gaps in Indonesia’s Gender-Disaggregated Data Governance Using Artificial Intelligence

Abstract

Data collected and reported separately for women, men, and diverse gender identities called gender disaggregated data is essential for identifying inequalities, supporting inclusive policymaking, and monitoring progress toward global development commitments such as the Sustainable Development Goals (SDGs). However, many countries face a persistent “gender data gap,” characterized by incomplete or poorly governed gender-specific data. This research examines the legal importance of gender-disaggregated data and evaluates whether Indonesian legal frameworks adequately regulate its collection, governance, and protection. Using a normative legal research approach, the study analyzes key Indonesian laws, including Law No. 16 of 1997 on Statistics, and Presidential Regulation No. 39 of 2019 on One Data Indonesia (Satu Data Indonesia), in relation to international commitments such as CEDAW and the SDGs. The findings indicate that existing regulations do not explicitly mandate systematic gender-disaggregated data collection, creating regulatory gaps. The study proposes the use of combination of doctrinal legal analysis with artificial intelligence tools to map legal provisions and identify the gaps, supporting more inclusive and evidence based data governance frameworks that advance gender equality