Operational risks caused by ai use at work and their management in professional literature

The increasing use of artificial intelligence (AI) at workplaces carries major risks, appearing at both technical, legal, and structural levels. Risks include – among others – GDPR concerns and distortions of decision-making while they also cover blurred responsibilities and changes in human jobs. Based on a comprehensive review of professional literature, this study defines categories of AI-specific operational risks with particular attention to ethical dilemmas, regulatory challenges, and the impact on organisational effectiveness. The analysis sheds light on the paradoxes generated by AI that complicate corporate decision-making and risk management. Finally, the study proposes proactively managing AI-related risks; the most important ones include improved transparency, application of adaptive risk management models and ongoing improvement of the regulatory framework. The findings show the organisational integration of AI is not simply a technological but also a strategic and structural issue that requires a long-term approach.