Artificial intelligence (AI) and algorithmic systems are increasingly managing how people work by assigning tasks, setting deadlines, monitoring performance, and evaluating efficiency. While these technologies promise greater productivity, they also introduce new risks that traditional safety frameworks fail to address. This book introduces Algorithmic Safety Justice (ASJ), an original framework for evaluating whether AI-driven work systems protect employees or push them beyond safe limits through hidden pressure, excessive monitoring, and automated performance demands that erode autonomy and dignity.
This title combines perspectives from occupational safety, management theory, sociotechnical systems, and AI ethics to examine how algorithmic management affects working conditions and employee well-being. Through analysis of transparency, contestability, human oversight, and the distribution of responsibility, it demonstrates that safe AI systems must be designed with employee participation and resistance to work intensification. Readers will gain practical tools for identifying when algorithms create unsafe conditions, within an Industry 5.0 vision of human-centric and resilient systems.
AI, Work, and Safety: Algorithmic Justice in the Workplace is essential reading for researchers, occupational health and safety specialists, managers, designers and anyone concerned with ensuring that workplace technology serves human dignity rather than undermining it.