The Role of Big Data and Artificial Intelligence in Detecting Corruption in Indonesia

Abstract

Advances in big data analytics and artificial intelligence (AI) present new opportunities for detecting and preventing corruption. This paper explores the application of these technologies in Indonesia’s anti-corruption landscape, analyzing current initiatives, technological capabilities, and institutional readiness. Through case studies of data-driven projects and interviews with technology experts and anti-corruption practitioners, the study evaluates the potential of AI algorithms to identify suspicious patterns, predict corruption risks, and enhance investigative efficiency. Findings highlight both the transformative potential and critical challenges, such as data quality, privacy concerns, and limited technical capacity. The paper advocates for strategic investments in technology, capacity building, and ethical frameworks to harness AI effectively in anti-corruption efforts. This study adds to international debates on digital innovation in governance, emphasizing the need for contextualized approaches in emerging economies.