Growing datafication of work environments deployed by new technological capacities built on Big Data and Artificial Intelligence (AI) enhanced systems are disrupting the industrial relations scene in many ways. These technologies increase the possibilities of collecting, combining and using data on workplace and workers. However, the use of these technologies very often lacks transparency and is semiautonomous, thus jeopardising traditional forms of collective employee involvement, transparency or even data protection regulations. As AI and algorithmic decisions are increasingly widespread in employment relations, concerns are being raised about the impact of these practices on workers’ voice, influence and working conditions.
The spread of AI and the adoption of Algorithmic Management (AM) entail the digitalisation and automation of an increasing number of processes and decisions, ranging from work organisation, recruitment and dismissal to evaluation and performance appraisal, among others. However, there is still very little empirical evidence on how AI is impacting workplaces and labour markets across sectors and countries, thus hindering the development of a consistent framework for governing AM.