AI, job quality, and worker voice: Conditions for mutual gains in the digital economy

This event is organized as part of ITU's AI for Good Series.

Digital and AI-based technologies provide new tools to reorganize work and manage workers. These can be used in different ways: to automate and deskill jobs or augment worker skills; and to intensify monitoring and discipline or improve training and scheduling. In this talk, Professor Doellgast asks under what conditions these technologies generate mutual gains for employers, workers, and the broader public – drawing on findings from research in the North American and European telecom, IT, and call center industries. She discusses challenges to realizing these benefits, as well as opportunities for management and policy choices that support more socially sustainable AI strategies.   

This talk is based on: Doellgast, V. (2023). Can democracy at work deliver mutual gains in the digital economy? Studi organizzativi: XXV, 2, 2023, 213-229. – and Doellgast, V., Wagner, I., & O’Brady, S. (2023). Negotiating limits on algorithmic management in digitalised services: cases from Germany and Norway. Transfer: European Review of Labour and Research, 29(1), 105-120. 

This live event includes a 30-minute networking event hosted on the AI for Good Neural Network. This is your opportunity to ask questions, interact with the panelists and participants and build connections with the AI for Good community.