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.
Fields of Study & Subjects
Digital Economy and Work Transformation
Legal and Labor Studies
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Environment-Behaviour Proceedings Journal
- Volume
- 11
- Issue
- 35
- Pages
- 53–60
- Publication date
- 17 January 2026