Algorithmic Management

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

Algorithmic Management practices in regular workplaces: case studies in logistics and healthcare

Report

Algorithmic Management practices in regular workplaces: case studies in logistics and healthcare

Negotiating the algorithm: Artificial intelligence and algorithmic management at work

Meeting

Negotiating the algorithm: Artificial intelligence and algorithmic management at work

Artificial intelligence in human resource management: a challenge for the human-centred agenda?

ILO Working paper 95

Artificial intelligence in human resource management: a challenge for the human-centred agenda?

The Algorithmic Management of work and its implications in different contexts

Background paper

The Algorithmic Management of work and its implications in different contexts

News and articles

ILO study highlights the need for human resource managers to better understand AI-related risks

Artificial intelligence

ILO study highlights the need for human resource managers to better understand AI-related risks

Governing AI in the World of Work: A review of global ethics guidelines

AI and Work

Governing AI in the World of Work: A review of global ethics guidelines

Most recent publications

AI in human resource management: The limits of empiricism

Working Paper 154

AI in human resource management: The limits of empiricism

Global case studies of social dialogue on AI and algorithmic management

ILO Working Paper 144

Global case studies of social dialogue on AI and algorithmic management

Generative AI and jobs: A 2025 update

Research Brief

Generative AI and jobs: A 2025 update

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