Human- and machine learning – opportunities and challenges
Project Director of the Norwegian Board of Technology (NBT), Norway
Artificial Intelligence (AI) and Machine Learning have made powerful leaps forward in recent years and might profoundly impact the workplace in the years to come. How does the machines learn and how can humans and machine cooperate in the future? These are some of the questions Hilde Lovett reflects upon in her keynote. Hilde is leading NBTs projects on Artificial Intelligence and health. She will draw on examples from how machine learning can impact the health service in the coming years
A look at challenges associated with the changing nature of work and what this may mean for enabling sustainable work
Professor and Chair of Industrial/Organisational Psychology at the University of the Witwatersrand, South Africa.
President of the Ergonomics Society of South Africa, and Chair of the International Ergonomics Association’s Human Factors for Sustainable Development Technical Committee.
The world of work is changing rapidly, creating new opportunities but also creating numerous challenges associated with the sustainability of work. These challenges are related to precarious work forms, emerging types of employment contracts (e.g. irregular hours, zero-hour contracts), work intensification, emotional work, and the increased potential for work-home interference. Exacerbating these issues is the understanding that the world of work is an interconnected system meaning that the challenges are different across the world and resolving a problem in one part of the world might create different challenges in others parts of the world. In this keynote Andrew Thatcher will address the different aspects of these challenges and how they impact on the ability of the worker to function in a sustainable manner. The role of ergonomics in addressing these problems will be considered.