P-067 Algorithms, Artificial Intelligence, Machine Learning: New Learning and the Future of Work

Introduction Worldwide, workers and employers are being confronted with algorithmically-driven automation in the workplace — through the introduction of specific procedures to digitally manage and affect positively and negatively major changes in the future of work. This will require new learning, new educational approaches for digital development, risk education and management for our community of practice. Methods This presentation is drawn from a content analysis of the current literature reviewing three major areas: algorithms, artificial intelligence and machine learning with a focus on the key automated procedures and their definition and effect on workers and workplaces. In addition, the presentation is informed by the current work being undertaken at the National Institute of Occupational Safety and Health Results The current focus on the effect of artificial intelligence for work and employment has tended to focus on the impact on overall employment, and skills demand. Yet, the most obvious and direct impact of machine learning is on how work is undertaken, coordinated, monitored, evaluated and most importantly- its effect on the quality of working life and wellbeing. Discussion While the emphasis on this presentation is on the United States, the approach and issues presented provide a more general outline and basic template for a more global approach and analysis. Conclusion Algorithm-enabled Al systems are maturing quickly, but international regulatory approaches are lagging and voluntary approaches seem ill-defined with little agreement by developers and risk managers.