The growing integration of AI in the world of work will likely result in greater collection and analysis of data on workers and job applicants. In some cases, data on workers is collected as a byproduct and is not the main purpose of the AI system. In other cases, AI systems may be specifically designed for measuring productivity or worker surveillance. Data collected may include information such as: worker movements, biometric data, as well as digital activities. Workers may worry about their privacy when such data is personal. They might also worry that the data are used for purposes other than for which it was intended. Increased monitoring and surveillance could also lead to stress. In addition, AI may be used to infer personal data. The protection of workers against privacy risks varies considerably across OECD countries and gaps remain even in those with the strongest protections.
This webinar, a collaboration between Ius Laboris and the OECD, will explore how data protection and privacy in the workplace are regulated across the world, with country examples, and explore points of commonality as well as gaps that may need to be addressed.
Moderator:
Stijn Broecke – OECD Senior Economist
Speakers:
– United Kingdom – Alexander Milner Smith
– Canada – Sonia Regenbogen
– Germany – Burkard Göpfert
– Singapore – Rajesh Sreenivasan
– Business & Industry Advisory Committee (BIAC) to the OECD
– Trade Union Advisory Committee (TUAC) to the OECD – Sarah Jameson
