AI, Work, and Safety

Algorithmic Justice in the Workplace
1. Auflage 2027
ISBN: 978-1-041-45400-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 208 Seiten, Format (B × H): 156 mm x 234 mm

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.

Zielgruppe

Academic

Autoren/Hrsg.

Brodny, Jaroslaw

Tutak, Magdalena

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Technik Allgemein Systems Engineering
• Technische Wissenschaften Technik Allgemein Technische Zuverlässigkeit, Sicherheitstechnik

Inhaltsverzeichnis

1. Introduction. 2.Digital Transformation of Work and the Algorithmization of Organizational Control. 3. AI-Based Worker Management in Practice: Sectoral Applications. 4. Psychosocial, Cognitive, and Organizational Risks of Algorithmic Work. 5.Safety Science in the Face of Algorithmic Systems. 6. Regulatory and Governance Frameworks for AI-Based Worker Management. 7. From Algorithmic Fairness to Algorithmic Safety Justice. 8. The Concept of Algorithmic Safety Justice. 9. The Theoretical Model of Algorithmic Safety Justice and Causal Mechanisms. 10. Operationalization and Practical Assessment of Algorithmic Safety Justice. 11. Audit, Implementation, and Governance of Algorithmic Safety Justice. 12. Conclusions.

Über Autor(innen)

Jaroslaw Brodny is a Professor at the Silesian University of Technology, Poland. His research focuses on production and industrial engineering, advanced technical systems, and digital transformation of industry, with emphasis on cyber-physical systems, industrial process modeling, and integration of digital technologies with energy systems. Prof. Brodny's recent work centers on Industry 4.0 and Industry 5.0, combining technological perspectives with analysis of resilience and safety in industrial and energy systems. He is author or co-author of over 300 scientific publications and co-inventor of numerous patented solutions.

Magdalena Tutak is a Professor at the Silesian University of Technology, Poland. Her research focuses on sustainability and resilience of industrial systems in the context of Industry 4.0 and Industry 5.0, emphasizing energy security, environmental performance, and human-centric organization of production. Prof. Tutak investigates interactions between technological transformation, occupational safety, workforce well-being, and alignment of industrial practice with sustainability goals and policy frameworks. She is author or co-author of over 170 scientific publications.