AI and the transformation of work : Employment, skills and job quality ; PhD summer school 2023
Lippert, Isabell ; Vieira, Tiago ; Beauvalet, Marion
Friedrich Ebert Stiftung Competence Centre on the Future of Work
2023
28 p.
artificial intelligence ; employment ; quality of working life ; skill requirement ; labour market segmentation ; management ; trade union attitude
Employment
https://library.fes.de/pdf-files/bueros/bruessel/20845.pdf
English
"Rapid developments in artificial intelligence (AI) and automation technologies are set to transform the nature of work and the workplace itself. Advanced software systems with high degrees of autonomy are expected to perform a broad range of functions that are carried out by humans today. While the adoption of AI at workplaces is expected to positively impact the organisation of work by increasing operational efficiency, enabling informed decisions to be made faster while speeding up product and service innovation, new technologies can also have a negative impact on working conditions and the well-being of million of workers around the globe. Emerging evidence suggest that AI has the potential to contribute to an erosion of the middle class and a ‘job polarisation' that may inexorably lead to a greater economic disparity between highly skilled jobs and low-skilled jobs which would be too costly to automate. This current publication is based on three student papers as part of the PhD Summer School 2023 – AI and the Transformation of Work: Employment, Skills and Job Quality. The summer school was organised by the FES Competence Centre on the Future of Work in Berlin in cooperation with the Weizenbaum Institute for the Networked Society..."
Digital
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