Topic portal
Algorithmic management in the workplace
Algorithmic management refers to algorithmic systems that use tracked data and other information to organize, assign, monitor, supervise and evaluate work. While some algorithmic systems use artificial intelligence to learn and make predictions, algorithmic management can also be based on simple, rules-based systems that form the basis for managerial decisions in the workplace.
Under algorithmic management, workers interact with a system rather than a human manager, thus reducing contact between workers and their managers as well as among co-workers.
While the delegation of managerial functions to algorithms is growing across industries, particularly in customer service, transport, logistics, banking and health care, it is the defining feature of digital labour platforms.
Key resources
Report
Algorithmic Management practices in regular workplaces: case studies in logistics and healthcare
Meeting
Negotiating the algorithm: Artificial intelligence and algorithmic management at work
ILO Working paper 95
Artificial intelligence in human resource management: a challenge for the human-centred agenda?
Background paper
The Algorithmic Management of work and its implications in different contexts
News and articles
Artificial intelligence
ILO study highlights the need for human resource managers to better understand AI-related risks
AI and Work
Governing AI in the World of Work: A review of global ethics guidelines
Most recent publications
Working Paper 154
AI in human resource management: The limits of empiricism
ILO Working Paper 144
Global case studies of social dialogue on AI and algorithmic management
Research Brief
Generative AI and jobs: A 2025 update
Related Content
Portal
Observatory on AI and Work in the Digital Economy
Topic portal
Artificial intelligence
Topic portal
Digital labour platforms
Topic portal
Workers’ personal data