REGULATING ALGORITHMIC MANAGEMENT ON DIGITAL LABOUR PLATFORMS IN MALAYSIA: LESSONS FROM THE UNITED KINGDOM

Abstract

Digital labour platforms increasingly rely on algorithmic management to allocate tasks, monitor performance, and regulate worker behaviour. In Malaysia, limited regulatory oversight raises concerns about transparency, fairness and protection for platform workers. This study benchmarks Malaysia against the United Kingdom to examine how regulatory approaches to algorithmic management shape working conditions. The findings reveal transparency gaps in Malaysia that expose workers to unfair evaluation and automated deactivation, while the United Kingdom demonstrates stronger employment recognition transparency duties and ethical AI governance. This study advances regulatory and ethical debates by showing how governance choices shape platform workers’ quality of life.